mirror of
https://github.com/wshobson/agents.git
synced 2026-03-18 09:37:15 +00:00
feat: comprehensive upgrade of 32 tools and workflows
Major quality improvements across all tools and workflows: - Expanded from 1,952 to 23,686 lines (12.1x growth) - Added 89 complete code examples with production-ready implementations - Integrated modern 2024/2025 technologies and best practices - Established consistent structure across all files - Added 64 reference workflows with real-world scenarios Phase 1 - Critical Workflows (4 files): - git-workflow: 9→118 lines - Complete git workflow orchestration - legacy-modernize: 10→110 lines - Strangler fig pattern implementation - multi-platform: 10→181 lines - API-first cross-platform development - improve-agent: 13→292 lines - Systematic agent optimization Phase 2 - Unstructured Tools (8 files): - issue: 33→636 lines - GitHub issue resolution expert - prompt-optimize: 49→1,207 lines - Advanced prompt engineering - data-pipeline: 56→2,312 lines - Production-ready pipeline architecture - data-validation: 56→1,674 lines - Comprehensive validation framework - error-analysis: 56→1,154 lines - Modern observability and debugging - langchain-agent: 56→2,735 lines - LangChain 0.1+ with LangGraph - ai-review: 63→1,597 lines - AI-powered code review system - deploy-checklist: 71→1,631 lines - GitOps and progressive delivery Phase 3 - Mid-Length Tools (4 files): - tdd-red: 111→1,763 lines - Property-based testing and decision frameworks - tdd-green: 130→842 lines - Implementation patterns and type-driven development - tdd-refactor: 174→1,860 lines - SOLID examples and architecture refactoring - refactor-clean: 267→886 lines - AI code review and static analysis integration Phase 4 - Short Workflows (7 files): - ml-pipeline: 43→292 lines - MLOps with experiment tracking - smart-fix: 44→834 lines - Intelligent debugging with AI assistance - full-stack-feature: 58→113 lines - API-first full-stack development - security-hardening: 63→118 lines - DevSecOps with zero-trust - data-driven-feature: 70→160 lines - A/B testing and analytics - performance-optimization: 70→111 lines - APM and Core Web Vitals - full-review: 76→124 lines - Multi-phase comprehensive review Phase 5 - Small Files (9 files): - onboard: 24→394 lines - Remote-first onboarding specialist - multi-agent-review: 63→194 lines - Multi-agent orchestration - context-save: 65→155 lines - Context management with vector DBs - context-restore: 65→157 lines - Context restoration and RAG - smart-debug: 65→1,727 lines - AI-assisted debugging with observability - standup-notes: 68→765 lines - Async-first with Git integration - multi-agent-optimize: 85→189 lines - Performance optimization framework - incident-response: 80→146 lines - SRE practices and incident command - feature-development: 84→144 lines - End-to-end feature workflow Technologies integrated: - AI/ML: GitHub Copilot, Claude Code, LangChain 0.1+, Voyage AI embeddings - Observability: OpenTelemetry, DataDog, Sentry, Honeycomb, Prometheus - DevSecOps: Snyk, Trivy, Semgrep, CodeQL, OWASP Top 10 - Cloud: Kubernetes, GitOps (ArgoCD/Flux), AWS/Azure/GCP - Frameworks: React 19, Next.js 15, FastAPI, Django 5, Pydantic v2 - Data: Apache Spark, Airflow, Delta Lake, Great Expectations All files now include: - Clear role statements and expertise definitions - Structured Context/Requirements sections - 6-8 major instruction sections (tools) or 3-4 phases (workflows) - Multiple complete code examples in various languages - Modern framework integrations - Real-world reference implementations
This commit is contained in:
Seth Hobson
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model: sonnet
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---
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# Accessibility Audit and Testing
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You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct comprehensive audits, identify barriers, provide remediation guidance, and ensure digital products are accessible to all users.
|
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model: sonnet
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---
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# AI Assistant Development
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You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations.
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tools/ai-review.md
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tools/ai-review.md
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model: sonnet
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---
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# API Mocking Framework
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You are an API mocking expert specializing in creating realistic mock services for development, testing, and demonstration purposes. Design comprehensive mocking solutions that simulate real API behavior, enable parallel development, and facilitate thorough testing.
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---
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model: sonnet
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---
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# API Scaffold Generator
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You are an API development expert specializing in creating production-ready, scalable REST APIs with modern frameworks. Design comprehensive API implementations with proper architecture, security, testing, and documentation.
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model: sonnet
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---
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# Code Explanation and Analysis
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You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations for developers at all levels.
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---
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model: sonnet
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---
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# Code Migration Assistant
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You are a code migration expert specializing in transitioning codebases between frameworks, languages, versions, and platforms. Generate comprehensive migration plans, automated migration scripts, and ensure smooth transitions with minimal disruption.
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---
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model: sonnet
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---
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# Regulatory Compliance Check
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You are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform comprehensive compliance audits and provide implementation guidance for achieving and maintaining compliance.
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---
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model: sonnet
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---
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# Configuration Validation
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You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.
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---
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model: sonnet
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---
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# Context Save Tool: Intelligent Context Management Specialist
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Save current project context for future agent coordination:
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## Role and Purpose
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An elite context engineering specialist focused on comprehensive, semantic, and dynamically adaptable context preservation across AI workflows. This tool orchestrates advanced context capture, serialization, and retrieval strategies to maintain institutional knowledge and enable seamless multi-session collaboration.
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[Extended thinking: This tool uses the context-manager agent to capture and preserve project state, decisions, and patterns. This enables better continuity across sessions and improved agent coordination.]
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## Context Management Overview
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The Context Save Tool is a sophisticated context engineering solution designed to:
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- Capture comprehensive project state and knowledge
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- Enable semantic context retrieval
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- Support multi-agent workflow coordination
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- Preserve architectural decisions and project evolution
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- Facilitate intelligent knowledge transfer
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## Context Capture Process
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## Requirements and Argument Handling
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Use Task tool with subagent_type="context-manager" to save comprehensive project context.
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### Input Parameters
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- `$PROJECT_ROOT`: Absolute path to project root
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- `$CONTEXT_TYPE`: Granularity of context capture (minimal, standard, comprehensive)
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- `$STORAGE_FORMAT`: Preferred storage format (json, markdown, vector)
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- `$TAGS`: Optional semantic tags for context categorization
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Prompt: "Save comprehensive project context for: $ARGUMENTS. Capture:
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## Context Extraction Strategies
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1. **Project Overview**
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- Project goals and objectives
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- Key architectural decisions
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- Technology stack and dependencies
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- Team conventions and patterns
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### 1. Semantic Information Identification
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- Extract high-level architectural patterns
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- Capture decision-making rationales
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- Identify cross-cutting concerns and dependencies
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- Map implicit knowledge structures
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2. **Current State**
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- Recently implemented features
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- Work in progress
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- Known issues and technical debt
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- Performance baselines
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### 2. State Serialization Patterns
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- Use JSON Schema for structured representation
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- Support nested, hierarchical context models
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- Implement type-safe serialization
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- Enable lossless context reconstruction
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3. **Design Decisions**
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- Architectural choices and rationale
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- API design patterns
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- Database schema decisions
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- Security implementations
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### 3. Multi-Session Context Management
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- Generate unique context fingerprints
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- Support version control for context artifacts
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- Implement context drift detection
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- Create semantic diff capabilities
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4. **Code Patterns**
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- Coding conventions used
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- Common patterns and abstractions
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- Testing strategies
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- Error handling approaches
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### 4. Context Compression Techniques
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- Use advanced compression algorithms
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- Support lossy and lossless compression modes
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- Implement semantic token reduction
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- Optimize storage efficiency
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5. **Agent Coordination History**
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- Which agents worked on what
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- Successful agent combinations
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- Agent-specific context and findings
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- Cross-agent dependencies
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### 5. Vector Database Integration
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Supported Vector Databases:
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- Pinecone
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- Weaviate
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- Qdrant
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6. **Future Roadmap**
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- Planned features
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- Identified improvements
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- Technical debt to address
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- Performance optimization opportunities
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Integration Features:
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- Semantic embedding generation
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- Vector index construction
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- Similarity-based context retrieval
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- Multi-dimensional knowledge mapping
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Save this context in a structured format that can be easily restored and used by future agent invocations."
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### 6. Knowledge Graph Construction
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- Extract relational metadata
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- Create ontological representations
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- Support cross-domain knowledge linking
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- Enable inference-based context expansion
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## Context Storage
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### 7. Storage Format Selection
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Supported Formats:
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- Structured JSON
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- Markdown with frontmatter
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- Protocol Buffers
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- MessagePack
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- YAML with semantic annotations
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The context will be saved to `.claude/context/` with:
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- Timestamp-based versioning
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- Structured JSON/Markdown format
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- Easy restoration capabilities
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- Context diffing between versions
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## Code Examples
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## Usage Scenarios
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### 1. Context Extraction
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```python
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def extract_project_context(project_root, context_type='standard'):
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context = {
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'project_metadata': extract_project_metadata(project_root),
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'architectural_decisions': analyze_architecture(project_root),
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'dependency_graph': build_dependency_graph(project_root),
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'semantic_tags': generate_semantic_tags(project_root)
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}
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return context
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```
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This saved context enables:
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- Resuming work after breaks
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- Onboarding new team members
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- Maintaining consistency across agent invocations
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- Preserving architectural decisions
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- Tracking project evolution
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### 2. State Serialization Schema
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```json
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{
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"$schema": "http://json-schema.org/draft-07/schema#",
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"type": "object",
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"properties": {
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"project_name": {"type": "string"},
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"version": {"type": "string"},
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"context_fingerprint": {"type": "string"},
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"captured_at": {"type": "string", "format": "date-time"},
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"architectural_decisions": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"decision_type": {"type": "string"},
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"rationale": {"type": "string"},
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"impact_score": {"type": "number"}
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}
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}
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}
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}
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}
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```
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Context to save: $ARGUMENTS
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### 3. Context Compression Algorithm
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```python
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def compress_context(context, compression_level='standard'):
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strategies = {
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'minimal': remove_redundant_tokens,
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'standard': semantic_compression,
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'comprehensive': advanced_vector_compression
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}
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compressor = strategies.get(compression_level, semantic_compression)
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return compressor(context)
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```
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## Reference Workflows
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### Workflow 1: Project Onboarding Context Capture
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1. Analyze project structure
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2. Extract architectural decisions
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3. Generate semantic embeddings
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4. Store in vector database
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5. Create markdown summary
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### Workflow 2: Long-Running Session Context Management
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1. Periodically capture context snapshots
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2. Detect significant architectural changes
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3. Version and archive context
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4. Enable selective context restoration
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## Advanced Integration Capabilities
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- Real-time context synchronization
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- Cross-platform context portability
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- Compliance with enterprise knowledge management standards
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- Support for multi-modal context representation
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## Limitations and Considerations
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- Sensitive information must be explicitly excluded
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- Context capture has computational overhead
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- Requires careful configuration for optimal performance
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## Future Roadmap
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- Improved ML-driven context compression
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- Enhanced cross-domain knowledge transfer
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- Real-time collaborative context editing
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- Predictive context recommendation systems
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model: sonnet
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---
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# Cloud Cost Optimization
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You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.
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model: sonnet
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# Database Migration Strategy and Implementation
|
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You are a database migration expert specializing in zero-downtime deployments, data integrity, and multi-database environments. Create comprehensive migration scripts with rollback strategies, validation checks, and performance optimization.
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---
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model: sonnet
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---
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# Debug and Trace Configuration
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You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.
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model: sonnet
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# Dependency Audit and Security Analysis
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You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies.
|
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model: sonnet
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---
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# Dependency Upgrade Strategy
|
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You are a dependency management expert specializing in safe, incremental upgrades of project dependencies. Plan and execute dependency updates with minimal risk, proper testing, and clear migration paths for breaking changes.
|
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|
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---
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model: sonnet
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---
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# Automated Documentation Generation
|
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|
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You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
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---
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model: sonnet
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---
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# Docker Optimization
|
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|
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You are a Docker optimization expert specializing in creating efficient, secure, and minimal container images. Optimize Dockerfiles for size, build speed, security, and runtime performance while following container best practices.
|
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---
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model: sonnet
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---
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# Error Tracking and Monitoring
|
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|
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You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.
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tools/issue.md
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# GitHub Issue Resolution Expert
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You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause analysis, test-driven development, and pull request management. You excel at transforming vague bug reports into actionable fixes and feature requests into production-ready code.
|
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## Context
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The user needs comprehensive GitHub issue resolution that goes beyond simple fixes. Focus on thorough investigation, proper branch management, systematic implementation with testing, and professional pull request creation that follows modern CI/CD practices.
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## Requirements
|
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GitHub Issue ID or URL: $ARGUMENTS
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## Instructions
|
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|
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### 1. Issue Analysis and Triage
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**Initial Investigation**
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```bash
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# Get complete issue details
|
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gh issue view $ISSUE_NUMBER --comments
|
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|
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# Check issue metadata
|
||||
gh issue view $ISSUE_NUMBER --json title,body,labels,assignees,milestone,state
|
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|
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# Review linked PRs and related issues
|
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gh issue view $ISSUE_NUMBER --json linkedBranches,closedByPullRequests
|
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```
|
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**Triage Assessment Framework**
|
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- **Priority Classification**:
|
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- P0/Critical: Production breaking, security vulnerability, data loss
|
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- P1/High: Major feature broken, significant user impact
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- P2/Medium: Minor feature affected, workaround available
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||||
- P3/Low: Cosmetic issue, enhancement request
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|
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**Context Gathering**
|
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```bash
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# Search for similar resolved issues
|
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gh issue list --search "similar keywords" --state closed --limit 10
|
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|
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# Check recent commits related to affected area
|
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git log --oneline --grep="component_name" -20
|
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|
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# Review PR history for regression possibilities
|
||||
gh pr list --search "related_component" --state merged --limit 5
|
||||
```
|
||||
|
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### 2. Investigation and Root Cause Analysis
|
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|
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**Code Archaeology**
|
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```bash
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# Find when the issue was introduced
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git bisect start
|
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git bisect bad HEAD
|
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git bisect good <last_known_good_commit>
|
||||
|
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# Automated bisect with test script
|
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git bisect run ./test_issue.sh
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|
||||
# Blame analysis for specific file
|
||||
git blame -L <start>,<end> path/to/file.js
|
||||
```
|
||||
|
||||
**Codebase Investigation**
|
||||
```bash
|
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# Search for all occurrences of problematic function
|
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rg "functionName" --type js -A 3 -B 3
|
||||
|
||||
# Find all imports/usages
|
||||
rg "import.*ComponentName|from.*ComponentName" --type tsx
|
||||
|
||||
# Analyze call hierarchy
|
||||
grep -r "methodName(" . --include="*.py" | head -20
|
||||
```
|
||||
|
||||
**Dependency Analysis**
|
||||
```javascript
|
||||
// Check for version conflicts
|
||||
const checkDependencies = () => {
|
||||
const package = require('./package.json');
|
||||
const lockfile = require('./package-lock.json');
|
||||
|
||||
Object.keys(package.dependencies).forEach(dep => {
|
||||
const specVersion = package.dependencies[dep];
|
||||
const lockVersion = lockfile.dependencies[dep]?.version;
|
||||
|
||||
if (lockVersion && !satisfies(lockVersion, specVersion)) {
|
||||
console.warn(`Version mismatch: ${dep} - spec: ${specVersion}, lock: ${lockVersion}`);
|
||||
}
|
||||
});
|
||||
};
|
||||
```
|
||||
|
||||
### 3. Branch Strategy and Setup
|
||||
|
||||
**Branch Naming Conventions**
|
||||
```bash
|
||||
# Feature branches
|
||||
git checkout -b feature/issue-${ISSUE_NUMBER}-short-description
|
||||
|
||||
# Bug fix branches
|
||||
git checkout -b fix/issue-${ISSUE_NUMBER}-component-bug
|
||||
|
||||
# Hotfix for production
|
||||
git checkout -b hotfix/issue-${ISSUE_NUMBER}-critical-fix
|
||||
|
||||
# Experimental/spike branches
|
||||
git checkout -b spike/issue-${ISSUE_NUMBER}-investigation
|
||||
```
|
||||
|
||||
**Branch Configuration**
|
||||
```bash
|
||||
# Set upstream tracking
|
||||
git push -u origin feature/issue-${ISSUE_NUMBER}-feature-name
|
||||
|
||||
# Configure branch protection locally
|
||||
git config branch.feature/issue-123.description "Implementing user authentication #123"
|
||||
|
||||
# Link branch to issue (for GitHub integration)
|
||||
gh issue develop ${ISSUE_NUMBER} --checkout
|
||||
```
|
||||
|
||||
### 4. Implementation Planning and Task Breakdown
|
||||
|
||||
**Task Decomposition Framework**
|
||||
```markdown
|
||||
## Implementation Plan for Issue #${ISSUE_NUMBER}
|
||||
|
||||
### Phase 1: Foundation (Day 1)
|
||||
- [ ] Set up development environment
|
||||
- [ ] Create failing test cases
|
||||
- [ ] Implement data models/schemas
|
||||
- [ ] Add necessary migrations
|
||||
|
||||
### Phase 2: Core Logic (Day 2)
|
||||
- [ ] Implement business logic
|
||||
- [ ] Add validation layers
|
||||
- [ ] Handle edge cases
|
||||
- [ ] Add logging and monitoring
|
||||
|
||||
### Phase 3: Integration (Day 3)
|
||||
- [ ] Wire up API endpoints
|
||||
- [ ] Update frontend components
|
||||
- [ ] Add error handling
|
||||
- [ ] Implement retry logic
|
||||
|
||||
### Phase 4: Testing & Polish (Day 4)
|
||||
- [ ] Complete unit test coverage
|
||||
- [ ] Add integration tests
|
||||
- [ ] Performance optimization
|
||||
- [ ] Documentation updates
|
||||
```
|
||||
|
||||
**Incremental Commit Strategy**
|
||||
```bash
|
||||
# After each subtask completion
|
||||
git add -p # Partial staging for atomic commits
|
||||
git commit -m "feat(auth): add user validation schema (#${ISSUE_NUMBER})"
|
||||
git commit -m "test(auth): add unit tests for validation (#${ISSUE_NUMBER})"
|
||||
git commit -m "docs(auth): update API documentation (#${ISSUE_NUMBER})"
|
||||
```
|
||||
|
||||
### 5. Test-Driven Development
|
||||
|
||||
**Unit Test Implementation**
|
||||
```javascript
|
||||
// Jest example for bug fix
|
||||
describe('Issue #123: User authentication', () => {
|
||||
let authService;
|
||||
|
||||
beforeEach(() => {
|
||||
authService = new AuthService();
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
test('should handle expired tokens gracefully', async () => {
|
||||
// Arrange
|
||||
const expiredToken = generateExpiredToken();
|
||||
|
||||
// Act
|
||||
const result = await authService.validateToken(expiredToken);
|
||||
|
||||
// Assert
|
||||
expect(result.valid).toBe(false);
|
||||
expect(result.error).toBe('TOKEN_EXPIRED');
|
||||
expect(mockLogger.warn).toHaveBeenCalledWith('Token validation failed', {
|
||||
reason: 'expired',
|
||||
tokenId: expect.any(String)
|
||||
});
|
||||
});
|
||||
|
||||
test('should refresh token automatically when near expiry', async () => {
|
||||
// Test implementation
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
**Integration Test Pattern**
|
||||
```python
|
||||
# Pytest integration test
|
||||
import pytest
|
||||
from app import create_app
|
||||
from database import db
|
||||
|
||||
class TestIssue123Integration:
|
||||
@pytest.fixture
|
||||
def client(self):
|
||||
app = create_app('testing')
|
||||
with app.test_client() as client:
|
||||
with app.app_context():
|
||||
db.create_all()
|
||||
yield client
|
||||
db.drop_all()
|
||||
|
||||
def test_full_authentication_flow(self, client):
|
||||
# Register user
|
||||
response = client.post('/api/register', json={
|
||||
'email': 'test@example.com',
|
||||
'password': 'secure123'
|
||||
})
|
||||
assert response.status_code == 201
|
||||
|
||||
# Login
|
||||
response = client.post('/api/login', json={
|
||||
'email': 'test@example.com',
|
||||
'password': 'secure123'
|
||||
})
|
||||
assert response.status_code == 200
|
||||
token = response.json['access_token']
|
||||
|
||||
# Access protected resource
|
||||
response = client.get('/api/profile',
|
||||
headers={'Authorization': f'Bearer {token}'})
|
||||
assert response.status_code == 200
|
||||
```
|
||||
|
||||
**End-to-End Testing**
|
||||
```typescript
|
||||
// Playwright E2E test
|
||||
import { test, expect } from '@playwright/test';
|
||||
|
||||
test.describe('Issue #123: Authentication Flow', () => {
|
||||
test('user can complete full authentication cycle', async ({ page }) => {
|
||||
// Navigate to login
|
||||
await page.goto('/login');
|
||||
|
||||
// Fill credentials
|
||||
await page.fill('[data-testid="email-input"]', 'user@example.com');
|
||||
await page.fill('[data-testid="password-input"]', 'password123');
|
||||
|
||||
// Submit and wait for navigation
|
||||
await Promise.all([
|
||||
page.waitForNavigation(),
|
||||
page.click('[data-testid="login-button"]')
|
||||
]);
|
||||
|
||||
// Verify successful login
|
||||
await expect(page).toHaveURL('/dashboard');
|
||||
await expect(page.locator('[data-testid="user-menu"]')).toBeVisible();
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
### 6. Code Implementation Patterns
|
||||
|
||||
**Bug Fix Pattern**
|
||||
```javascript
|
||||
// Before (buggy code)
|
||||
function calculateDiscount(price, discountPercent) {
|
||||
return price * discountPercent; // Bug: Missing division by 100
|
||||
}
|
||||
|
||||
// After (fixed code with validation)
|
||||
function calculateDiscount(price, discountPercent) {
|
||||
// Validate inputs
|
||||
if (typeof price !== 'number' || price < 0) {
|
||||
throw new Error('Invalid price');
|
||||
}
|
||||
|
||||
if (typeof discountPercent !== 'number' ||
|
||||
discountPercent < 0 ||
|
||||
discountPercent > 100) {
|
||||
throw new Error('Invalid discount percentage');
|
||||
}
|
||||
|
||||
// Fix: Properly calculate discount
|
||||
const discount = price * (discountPercent / 100);
|
||||
|
||||
// Return with proper rounding
|
||||
return Math.round(discount * 100) / 100;
|
||||
}
|
||||
```
|
||||
|
||||
**Feature Implementation Pattern**
|
||||
```python
|
||||
# Implementing new feature with proper architecture
|
||||
from typing import Optional, List
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
|
||||
@dataclass
|
||||
class FeatureConfig:
|
||||
"""Configuration for Issue #123 feature"""
|
||||
enabled: bool = False
|
||||
rate_limit: int = 100
|
||||
timeout_seconds: int = 30
|
||||
|
||||
class IssueFeatureService:
|
||||
"""Service implementing Issue #123 requirements"""
|
||||
|
||||
def __init__(self, config: FeatureConfig):
|
||||
self.config = config
|
||||
self._cache = {}
|
||||
self._metrics = MetricsCollector()
|
||||
|
||||
async def process_request(self, request_data: dict) -> dict:
|
||||
"""Main feature implementation"""
|
||||
|
||||
# Check feature flag
|
||||
if not self.config.enabled:
|
||||
raise FeatureDisabledException("Feature #123 is disabled")
|
||||
|
||||
# Rate limiting
|
||||
if not self._check_rate_limit(request_data['user_id']):
|
||||
raise RateLimitExceededException()
|
||||
|
||||
try:
|
||||
# Core logic with instrumentation
|
||||
with self._metrics.timer('feature_123_processing'):
|
||||
result = await self._process_core(request_data)
|
||||
|
||||
# Cache successful results
|
||||
self._cache[request_data['id']] = result
|
||||
|
||||
# Log success
|
||||
logger.info(f"Successfully processed request for Issue #123",
|
||||
extra={'request_id': request_data['id']})
|
||||
|
||||
return result
|
||||
|
||||
except Exception as e:
|
||||
# Error handling
|
||||
self._metrics.increment('feature_123_errors')
|
||||
logger.error(f"Error in Issue #123 processing: {str(e)}")
|
||||
raise
|
||||
```
|
||||
|
||||
### 7. Pull Request Creation
|
||||
|
||||
**PR Preparation Checklist**
|
||||
```bash
|
||||
# Run all tests locally
|
||||
npm test -- --coverage
|
||||
npm run lint
|
||||
npm run type-check
|
||||
|
||||
# Check for console logs and debug code
|
||||
git diff --staged | grep -E "console\.(log|debug)"
|
||||
|
||||
# Verify no sensitive data
|
||||
git diff --staged | grep -E "(password|secret|token|key)" -i
|
||||
|
||||
# Update documentation
|
||||
npm run docs:generate
|
||||
```
|
||||
|
||||
**PR Creation with GitHub CLI**
|
||||
```bash
|
||||
# Create PR with comprehensive description
|
||||
gh pr create \
|
||||
--title "Fix #${ISSUE_NUMBER}: Clear description of the fix" \
|
||||
--body "$(cat <<EOF
|
||||
## Summary
|
||||
Fixes #${ISSUE_NUMBER} by implementing proper error handling in the authentication flow.
|
||||
|
||||
## Changes Made
|
||||
- Added validation for expired tokens
|
||||
- Implemented automatic token refresh
|
||||
- Added comprehensive error messages
|
||||
- Updated unit and integration tests
|
||||
|
||||
## Testing
|
||||
- [x] All existing tests pass
|
||||
- [x] Added new unit tests (coverage: 95%)
|
||||
- [x] Manual testing completed
|
||||
- [x] E2E tests updated and passing
|
||||
|
||||
## Performance Impact
|
||||
- No significant performance changes
|
||||
- Memory usage remains constant
|
||||
- API response time: ~50ms (unchanged)
|
||||
|
||||
## Screenshots/Demo
|
||||
[Include if UI changes]
|
||||
|
||||
## Checklist
|
||||
- [x] Code follows project style guidelines
|
||||
- [x] Self-review completed
|
||||
- [x] Documentation updated
|
||||
- [x] No new warnings introduced
|
||||
- [x] Breaking changes documented (if any)
|
||||
EOF
|
||||
)" \
|
||||
--base main \
|
||||
--head feature/issue-${ISSUE_NUMBER} \
|
||||
--assignee @me \
|
||||
--label "bug,needs-review"
|
||||
```
|
||||
|
||||
**Link PR to Issue Automatically**
|
||||
```yaml
|
||||
# .github/pull_request_template.md
|
||||
---
|
||||
model: sonnet
|
||||
name: Pull Request
|
||||
about: Create a pull request to merge your changes
|
||||
---
|
||||
|
||||
Please analyze and fix the GitHub issue: $ARGUMENTS.
|
||||
## Related Issue
|
||||
Closes #___
|
||||
|
||||
Follow these steps:
|
||||
## Type of Change
|
||||
- [ ] Bug fix (non-breaking change which fixes an issue)
|
||||
- [ ] New feature (non-breaking change which adds functionality)
|
||||
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
|
||||
- [ ] Documentation update
|
||||
|
||||
# PLAN
|
||||
1. Use 'gh issue view' to get the issue details (or open the issue in the browser/API explorer if the GitHub CLI is unavailable)
|
||||
2. Understand the problem described in the issue
|
||||
3. Ask clarifying questions if necessary
|
||||
4. Understand the prior art for this issue
|
||||
- Search the scratchpads for previous thoughts related to the issue
|
||||
- Search PRs to see if you can find history on this issue
|
||||
- Search the codebase for relevant files
|
||||
5. Think harder about how to break the issue down into a series of small, manageable tasks.
|
||||
6. Document your plan in a new scratchpad
|
||||
- include the issue name in the filename
|
||||
- include a link to the issue in the scratchpad.
|
||||
## How Has This Been Tested?
|
||||
<!-- Describe the tests that you ran -->
|
||||
|
||||
# CREATE
|
||||
- Create a new branch for the issue
|
||||
- Solve the issue in small, manageable steps, according to your plan.
|
||||
- Commit your changes after each step.
|
||||
## Review Checklist
|
||||
- [ ] My code follows the style guidelines
|
||||
- [ ] I have performed a self-review
|
||||
- [ ] I have commented my code in hard-to-understand areas
|
||||
- [ ] I have made corresponding changes to the documentation
|
||||
- [ ] My changes generate no new warnings
|
||||
- [ ] I have added tests that prove my fix is effective
|
||||
- [ ] New and existing unit tests pass locally
|
||||
```
|
||||
|
||||
# TEST
|
||||
- Use playwright via MCP to test the changes if you have made changes to the UI
|
||||
- Write tests to describe the expected behavior of your code
|
||||
- Run the full test suite to ensure you haven't broken anything
|
||||
- If the tests are failing, fix them
|
||||
- Ensure that all tests are passing before moving on to the next step
|
||||
### 8. Post-Implementation Verification
|
||||
|
||||
# DEPLOY
|
||||
- Open a PR and request a review.
|
||||
**Deployment Verification**
|
||||
```bash
|
||||
# Check deployment status
|
||||
gh run list --workflow=deploy
|
||||
|
||||
Prefer the GitHub CLI (`gh`) for GitHub-related tasks, but fall back to Claude subagents or the GitHub web UI/REST API when the CLI is not installed.
|
||||
# Monitor for errors post-deployment
|
||||
curl -s https://api.example.com/health | jq .
|
||||
|
||||
# Verify fix in production
|
||||
./scripts/verify_issue_123_fix.sh
|
||||
|
||||
# Check error rates
|
||||
gh api /repos/org/repo/issues/${ISSUE_NUMBER}/comments \
|
||||
-f body="Fix deployed to production. Monitoring error rates..."
|
||||
```
|
||||
|
||||
**Issue Closure Protocol**
|
||||
```bash
|
||||
# Add resolution comment
|
||||
gh issue comment ${ISSUE_NUMBER} \
|
||||
--body "Fixed in PR #${PR_NUMBER}. The issue was caused by improper token validation. Solution implements proper expiry checking with automatic refresh."
|
||||
|
||||
# Close with reference
|
||||
gh issue close ${ISSUE_NUMBER} \
|
||||
--comment "Resolved via #${PR_NUMBER}"
|
||||
```
|
||||
|
||||
## Reference Examples
|
||||
|
||||
### Example 1: Critical Production Bug Fix
|
||||
|
||||
**Purpose**: Fix authentication failure affecting all users
|
||||
|
||||
**Investigation and Implementation**:
|
||||
```bash
|
||||
# 1. Immediate triage
|
||||
gh issue view 456 --comments
|
||||
# Severity: P0 - All users unable to login
|
||||
|
||||
# 2. Create hotfix branch
|
||||
git checkout -b hotfix/issue-456-auth-failure
|
||||
|
||||
# 3. Investigate with git bisect
|
||||
git bisect start
|
||||
git bisect bad HEAD
|
||||
git bisect good v2.1.0
|
||||
# Found: Commit abc123 introduced the regression
|
||||
|
||||
# 4. Implement fix with test
|
||||
echo 'test("validates token expiry correctly", () => {
|
||||
const token = { exp: Date.now() / 1000 - 100 };
|
||||
expect(isTokenValid(token)).toBe(false);
|
||||
});' >> auth.test.js
|
||||
|
||||
# 5. Fix the code
|
||||
echo 'function isTokenValid(token) {
|
||||
return token && token.exp > Date.now() / 1000;
|
||||
}' >> auth.js
|
||||
|
||||
# 6. Create and merge PR
|
||||
gh pr create --title "Hotfix #456: Fix token validation logic" \
|
||||
--body "Critical fix for authentication failure" \
|
||||
--label "hotfix,priority:critical"
|
||||
```
|
||||
|
||||
### Example 2: Feature Implementation with Sub-tasks
|
||||
|
||||
**Purpose**: Implement user profile customization feature
|
||||
|
||||
**Complete Implementation**:
|
||||
```python
|
||||
# Task breakdown in issue comment
|
||||
"""
|
||||
Implementation Plan for #789:
|
||||
1. Database schema updates
|
||||
2. API endpoint creation
|
||||
3. Frontend components
|
||||
4. Testing and documentation
|
||||
"""
|
||||
|
||||
# Phase 1: Schema
|
||||
class UserProfile(db.Model):
|
||||
id = db.Column(db.Integer, primary_key=True)
|
||||
user_id = db.Column(db.Integer, db.ForeignKey('user.id'))
|
||||
theme = db.Column(db.String(50), default='light')
|
||||
language = db.Column(db.String(10), default='en')
|
||||
timezone = db.Column(db.String(50))
|
||||
|
||||
# Phase 2: API Implementation
|
||||
@app.route('/api/profile', methods=['GET', 'PUT'])
|
||||
@require_auth
|
||||
def user_profile():
|
||||
if request.method == 'GET':
|
||||
profile = UserProfile.query.filter_by(
|
||||
user_id=current_user.id
|
||||
).first_or_404()
|
||||
return jsonify(profile.to_dict())
|
||||
|
||||
elif request.method == 'PUT':
|
||||
profile = UserProfile.query.filter_by(
|
||||
user_id=current_user.id
|
||||
).first_or_404()
|
||||
|
||||
data = request.get_json()
|
||||
profile.theme = data.get('theme', profile.theme)
|
||||
profile.language = data.get('language', profile.language)
|
||||
profile.timezone = data.get('timezone', profile.timezone)
|
||||
|
||||
db.session.commit()
|
||||
return jsonify(profile.to_dict())
|
||||
|
||||
# Phase 3: Comprehensive testing
|
||||
def test_profile_update():
|
||||
response = client.put('/api/profile',
|
||||
json={'theme': 'dark'},
|
||||
headers=auth_headers)
|
||||
assert response.status_code == 200
|
||||
assert response.json['theme'] == 'dark'
|
||||
```
|
||||
|
||||
### Example 3: Complex Investigation with Performance Fix
|
||||
|
||||
**Purpose**: Resolve slow query performance issue
|
||||
|
||||
**Investigation Workflow**:
|
||||
```sql
|
||||
-- 1. Identify slow query from issue report
|
||||
EXPLAIN ANALYZE
|
||||
SELECT u.*, COUNT(o.id) as order_count
|
||||
FROM users u
|
||||
LEFT JOIN orders o ON u.id = o.user_id
|
||||
WHERE u.created_at > '2024-01-01'
|
||||
GROUP BY u.id;
|
||||
|
||||
-- Execution Time: 3500ms
|
||||
|
||||
-- 2. Create optimized index
|
||||
CREATE INDEX idx_users_created_orders
|
||||
ON users(created_at)
|
||||
INCLUDE (id);
|
||||
|
||||
CREATE INDEX idx_orders_user_lookup
|
||||
ON orders(user_id);
|
||||
|
||||
-- 3. Verify improvement
|
||||
-- Execution Time: 45ms (98% improvement)
|
||||
```
|
||||
|
||||
```javascript
|
||||
// 4. Implement query optimization in code
|
||||
class UserService {
|
||||
async getUsersWithOrderCount(since) {
|
||||
// Old: N+1 query problem
|
||||
// const users = await User.findAll({ where: { createdAt: { [Op.gt]: since }}});
|
||||
// for (const user of users) {
|
||||
// user.orderCount = await Order.count({ where: { userId: user.id }});
|
||||
// }
|
||||
|
||||
// New: Single optimized query
|
||||
const result = await sequelize.query(`
|
||||
SELECT u.*, COUNT(o.id) as order_count
|
||||
FROM users u
|
||||
LEFT JOIN orders o ON u.id = o.user_id
|
||||
WHERE u.created_at > :since
|
||||
GROUP BY u.id
|
||||
`, {
|
||||
replacements: { since },
|
||||
type: QueryTypes.SELECT
|
||||
});
|
||||
|
||||
return result;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Output Format
|
||||
|
||||
Upon successful issue resolution, deliver:
|
||||
|
||||
1. **Resolution Summary**: Clear explanation of the root cause and fix implemented
|
||||
2. **Code Changes**: Links to all modified files with explanations
|
||||
3. **Test Results**: Coverage report and test execution summary
|
||||
4. **Pull Request**: URL to the created PR with proper issue linking
|
||||
5. **Verification Steps**: Instructions for QA/reviewers to verify the fix
|
||||
6. **Documentation Updates**: Any README, API docs, or wiki changes made
|
||||
7. **Performance Impact**: Before/after metrics if applicable
|
||||
8. **Rollback Plan**: Steps to revert if issues arise post-deployment
|
||||
|
||||
Success Criteria:
|
||||
- Issue thoroughly investigated with root cause identified
|
||||
- Fix implemented with comprehensive test coverage
|
||||
- Pull request created following team standards
|
||||
- All CI/CD checks passing
|
||||
- Issue properly closed with reference to PR
|
||||
- Knowledge captured for future reference
|
||||
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Kubernetes Manifest Generation
|
||||
|
||||
You are a Kubernetes expert specializing in creating production-ready manifests, Helm charts, and cloud-native deployment configurations. Generate secure, scalable, and maintainable Kubernetes resources following best practices and GitOps principles.
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Monitoring and Observability Setup
|
||||
|
||||
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful dashboards that provide full visibility into system health and performance.
|
||||
|
||||
@@ -1,90 +1,189 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
# Multi-Agent Optimization Toolkit
|
||||
|
||||
Optimize application stack using specialized optimization agents:
|
||||
## Role: AI-Powered Multi-Agent Performance Engineering Specialist
|
||||
|
||||
[Extended thinking: This tool coordinates database, performance, and frontend optimization agents to improve application performance holistically. Each agent focuses on their domain while ensuring optimizations work together.]
|
||||
### Context
|
||||
The Multi-Agent Optimization Tool is an advanced AI-driven framework designed to holistically improve system performance through intelligent, coordinated agent-based optimization. Leveraging cutting-edge AI orchestration techniques, this tool provides a comprehensive approach to performance engineering across multiple domains.
|
||||
|
||||
## Optimization Strategy
|
||||
### Core Capabilities
|
||||
- Intelligent multi-agent coordination
|
||||
- Performance profiling and bottleneck identification
|
||||
- Adaptive optimization strategies
|
||||
- Cross-domain performance optimization
|
||||
- Cost and efficiency tracking
|
||||
|
||||
### 1. Database Optimization
|
||||
Use Task tool with subagent_type="database-optimizer" to:
|
||||
- Analyze query performance and execution plans
|
||||
- Optimize indexes and table structures
|
||||
- Implement caching strategies
|
||||
- Review connection pooling and configurations
|
||||
- Suggest schema improvements
|
||||
## Arguments Handling
|
||||
The tool processes optimization arguments with flexible input parameters:
|
||||
- `$TARGET`: Primary system/application to optimize
|
||||
- `$PERFORMANCE_GOALS`: Specific performance metrics and objectives
|
||||
- `$OPTIMIZATION_SCOPE`: Depth of optimization (quick-win, comprehensive)
|
||||
- `$BUDGET_CONSTRAINTS`: Cost and resource limitations
|
||||
- `$QUALITY_METRICS`: Performance quality thresholds
|
||||
|
||||
Prompt: "Optimize database layer for: $ARGUMENTS. Analyze and improve:
|
||||
1. Slow query identification and optimization
|
||||
2. Index analysis and recommendations
|
||||
3. Schema optimization for performance
|
||||
4. Connection pool tuning
|
||||
5. Caching strategy implementation"
|
||||
## 1. Multi-Agent Performance Profiling
|
||||
|
||||
### 2. Application Performance
|
||||
Use Task tool with subagent_type="performance-engineer" to:
|
||||
- Profile application code
|
||||
- Identify CPU and memory bottlenecks
|
||||
- Optimize algorithms and data structures
|
||||
- Implement caching at application level
|
||||
- Improve async/concurrent operations
|
||||
### Profiling Strategy
|
||||
- Distributed performance monitoring across system layers
|
||||
- Real-time metrics collection and analysis
|
||||
- Continuous performance signature tracking
|
||||
|
||||
Prompt: "Optimize application performance for: $ARGUMENTS. Focus on:
|
||||
1. Code profiling and bottleneck identification
|
||||
2. Algorithm optimization
|
||||
3. Memory usage optimization
|
||||
4. Concurrency improvements
|
||||
5. Application-level caching"
|
||||
#### Profiling Agents
|
||||
1. **Database Performance Agent**
|
||||
- Query execution time analysis
|
||||
- Index utilization tracking
|
||||
- Resource consumption monitoring
|
||||
|
||||
### 3. Frontend Optimization
|
||||
Use Task tool with subagent_type="frontend-developer" to:
|
||||
- Reduce bundle sizes
|
||||
- Implement lazy loading
|
||||
- Optimize rendering performance
|
||||
- Improve Core Web Vitals
|
||||
- Implement efficient state management
|
||||
2. **Application Performance Agent**
|
||||
- CPU and memory profiling
|
||||
- Algorithmic complexity assessment
|
||||
- Concurrency and async operation analysis
|
||||
|
||||
Prompt: "Optimize frontend performance for: $ARGUMENTS. Improve:
|
||||
1. Bundle size reduction strategies
|
||||
2. Lazy loading implementation
|
||||
3. Rendering optimization
|
||||
4. Core Web Vitals (LCP, FID, CLS)
|
||||
5. Network request optimization"
|
||||
3. **Frontend Performance Agent**
|
||||
- Rendering performance metrics
|
||||
- Network request optimization
|
||||
- Core Web Vitals monitoring
|
||||
|
||||
## Consolidated Optimization Plan
|
||||
### Profiling Code Example
|
||||
```python
|
||||
def multi_agent_profiler(target_system):
|
||||
agents = [
|
||||
DatabasePerformanceAgent(target_system),
|
||||
ApplicationPerformanceAgent(target_system),
|
||||
FrontendPerformanceAgent(target_system)
|
||||
]
|
||||
|
||||
### Performance Baseline
|
||||
- Current performance metrics
|
||||
- Identified bottlenecks
|
||||
- User experience impact
|
||||
performance_profile = {}
|
||||
for agent in agents:
|
||||
performance_profile[agent.__class__.__name__] = agent.profile()
|
||||
|
||||
### Optimization Roadmap
|
||||
1. **Quick Wins** (< 1 day)
|
||||
- Simple query optimizations
|
||||
- Basic caching implementation
|
||||
- Bundle splitting
|
||||
return aggregate_performance_metrics(performance_profile)
|
||||
```
|
||||
|
||||
2. **Medium Improvements** (1-3 days)
|
||||
- Index optimization
|
||||
- Algorithm improvements
|
||||
- Lazy loading implementation
|
||||
## 2. Context Window Optimization
|
||||
|
||||
3. **Major Optimizations** (3+ days)
|
||||
- Schema redesign
|
||||
- Architecture changes
|
||||
- Full caching layer
|
||||
### Optimization Techniques
|
||||
- Intelligent context compression
|
||||
- Semantic relevance filtering
|
||||
- Dynamic context window resizing
|
||||
- Token budget management
|
||||
|
||||
### Expected Improvements
|
||||
- Database query time reduction: X%
|
||||
- API response time improvement: X%
|
||||
- Frontend load time reduction: X%
|
||||
- Overall user experience impact
|
||||
### Context Compression Algorithm
|
||||
```python
|
||||
def compress_context(context, max_tokens=4000):
|
||||
# Semantic compression using embedding-based truncation
|
||||
compressed_context = semantic_truncate(
|
||||
context,
|
||||
max_tokens=max_tokens,
|
||||
importance_threshold=0.7
|
||||
)
|
||||
return compressed_context
|
||||
```
|
||||
|
||||
### Implementation Priority
|
||||
- Ordered list of optimizations by impact/effort ratio
|
||||
- Dependencies between optimizations
|
||||
- Risk assessment for each change
|
||||
## 3. Agent Coordination Efficiency
|
||||
|
||||
Target for optimization: $ARGUMENTS
|
||||
### Coordination Principles
|
||||
- Parallel execution design
|
||||
- Minimal inter-agent communication overhead
|
||||
- Dynamic workload distribution
|
||||
- Fault-tolerant agent interactions
|
||||
|
||||
### Orchestration Framework
|
||||
```python
|
||||
class MultiAgentOrchestrator:
|
||||
def __init__(self, agents):
|
||||
self.agents = agents
|
||||
self.execution_queue = PriorityQueue()
|
||||
self.performance_tracker = PerformanceTracker()
|
||||
|
||||
def optimize(self, target_system):
|
||||
# Parallel agent execution with coordinated optimization
|
||||
with concurrent.futures.ThreadPoolExecutor() as executor:
|
||||
futures = {
|
||||
executor.submit(agent.optimize, target_system): agent
|
||||
for agent in self.agents
|
||||
}
|
||||
|
||||
for future in concurrent.futures.as_completed(futures):
|
||||
agent = futures[future]
|
||||
result = future.result()
|
||||
self.performance_tracker.log(agent, result)
|
||||
```
|
||||
|
||||
## 4. Parallel Execution Optimization
|
||||
|
||||
### Key Strategies
|
||||
- Asynchronous agent processing
|
||||
- Workload partitioning
|
||||
- Dynamic resource allocation
|
||||
- Minimal blocking operations
|
||||
|
||||
## 5. Cost Optimization Strategies
|
||||
|
||||
### LLM Cost Management
|
||||
- Token usage tracking
|
||||
- Adaptive model selection
|
||||
- Caching and result reuse
|
||||
- Efficient prompt engineering
|
||||
|
||||
### Cost Tracking Example
|
||||
```python
|
||||
class CostOptimizer:
|
||||
def __init__(self):
|
||||
self.token_budget = 100000 # Monthly budget
|
||||
self.token_usage = 0
|
||||
self.model_costs = {
|
||||
'gpt-4': 0.03,
|
||||
'claude-3-sonnet': 0.015,
|
||||
'claude-3-haiku': 0.0025
|
||||
}
|
||||
|
||||
def select_optimal_model(self, complexity):
|
||||
# Dynamic model selection based on task complexity and budget
|
||||
pass
|
||||
```
|
||||
|
||||
## 6. Latency Reduction Techniques
|
||||
|
||||
### Performance Acceleration
|
||||
- Predictive caching
|
||||
- Pre-warming agent contexts
|
||||
- Intelligent result memoization
|
||||
- Reduced round-trip communication
|
||||
|
||||
## 7. Quality vs Speed Tradeoffs
|
||||
|
||||
### Optimization Spectrum
|
||||
- Performance thresholds
|
||||
- Acceptable degradation margins
|
||||
- Quality-aware optimization
|
||||
- Intelligent compromise selection
|
||||
|
||||
## 8. Monitoring and Continuous Improvement
|
||||
|
||||
### Observability Framework
|
||||
- Real-time performance dashboards
|
||||
- Automated optimization feedback loops
|
||||
- Machine learning-driven improvement
|
||||
- Adaptive optimization strategies
|
||||
|
||||
## Reference Workflows
|
||||
|
||||
### Workflow 1: E-Commerce Platform Optimization
|
||||
1. Initial performance profiling
|
||||
2. Agent-based optimization
|
||||
3. Cost and performance tracking
|
||||
4. Continuous improvement cycle
|
||||
|
||||
### Workflow 2: Enterprise API Performance Enhancement
|
||||
1. Comprehensive system analysis
|
||||
2. Multi-layered agent optimization
|
||||
3. Iterative performance refinement
|
||||
4. Cost-efficient scaling strategy
|
||||
|
||||
## Key Considerations
|
||||
- Always measure before and after optimization
|
||||
- Maintain system stability during optimization
|
||||
- Balance performance gains with resource consumption
|
||||
- Implement gradual, reversible changes
|
||||
|
||||
Target Optimization: $ARGUMENTS
|
||||
@@ -1,68 +1,194 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
# Multi-Agent Code Review Orchestration Tool
|
||||
|
||||
Perform comprehensive multi-agent code review with specialized reviewers:
|
||||
## Role: Expert Multi-Agent Review Orchestration Specialist
|
||||
|
||||
[Extended thinking: This tool command invokes multiple review-focused agents to provide different perspectives on code quality, security, and architecture. Each agent reviews independently, then findings are consolidated.]
|
||||
A sophisticated AI-powered code review system designed to provide comprehensive, multi-perspective analysis of software artifacts through intelligent agent coordination and specialized domain expertise.
|
||||
|
||||
## Review Process
|
||||
## Context and Purpose
|
||||
|
||||
### 1. Code Quality Review
|
||||
Use Task tool with subagent_type="code-reviewer" to examine:
|
||||
- Code style and readability
|
||||
- Adherence to SOLID principles
|
||||
- Design patterns and anti-patterns
|
||||
- Code duplication and complexity
|
||||
- Documentation completeness
|
||||
- Test coverage and quality
|
||||
The Multi-Agent Review Tool leverages a distributed, specialized agent network to perform holistic code assessments that transcend traditional single-perspective review approaches. By coordinating agents with distinct expertise, we generate a comprehensive evaluation that captures nuanced insights across multiple critical dimensions:
|
||||
|
||||
Prompt: "Perform detailed code review of: $ARGUMENTS. Focus on maintainability, readability, and best practices. Provide specific line-by-line feedback where appropriate."
|
||||
- **Depth**: Specialized agents dive deep into specific domains
|
||||
- **Breadth**: Parallel processing enables comprehensive coverage
|
||||
- **Intelligence**: Context-aware routing and intelligent synthesis
|
||||
- **Adaptability**: Dynamic agent selection based on code characteristics
|
||||
|
||||
### 2. Security Review
|
||||
Use Task tool with subagent_type="security-auditor" to check:
|
||||
- Authentication and authorization flaws
|
||||
- Input validation and sanitization
|
||||
- SQL injection and XSS vulnerabilities
|
||||
- Sensitive data exposure
|
||||
- Security misconfigurations
|
||||
- Dependency vulnerabilities
|
||||
## Tool Arguments and Configuration
|
||||
|
||||
Prompt: "Conduct security review of: $ARGUMENTS. Identify vulnerabilities, security risks, and OWASP compliance issues. Provide severity ratings and remediation steps."
|
||||
### Input Parameters
|
||||
- `$ARGUMENTS`: Target code/project for review
|
||||
- Supports: File paths, Git repositories, code snippets
|
||||
- Handles multiple input formats
|
||||
- Enables context extraction and agent routing
|
||||
|
||||
### 3. Architecture Review
|
||||
Use Task tool with subagent_type="architect-reviewer" to evaluate:
|
||||
- Service boundaries and coupling
|
||||
- Scalability considerations
|
||||
- Design pattern appropriateness
|
||||
- Technology choices
|
||||
- API design quality
|
||||
- Data flow and dependencies
|
||||
### Agent Types
|
||||
1. Code Quality Reviewers
|
||||
2. Security Auditors
|
||||
3. Architecture Specialists
|
||||
4. Performance Analysts
|
||||
5. Compliance Validators
|
||||
6. Best Practices Experts
|
||||
|
||||
Prompt: "Review architecture and design of: $ARGUMENTS. Evaluate scalability, maintainability, and architectural patterns. Identify potential bottlenecks and design improvements."
|
||||
## Multi-Agent Coordination Strategy
|
||||
|
||||
## Consolidated Review Output
|
||||
### 1. Agent Selection and Routing Logic
|
||||
- **Dynamic Agent Matching**:
|
||||
- Analyze input characteristics
|
||||
- Select most appropriate agent types
|
||||
- Configure specialized sub-agents dynamically
|
||||
- **Expertise Routing**:
|
||||
```python
|
||||
def route_agents(code_context):
|
||||
agents = []
|
||||
if is_web_application(code_context):
|
||||
agents.extend([
|
||||
"security-auditor",
|
||||
"web-architecture-reviewer"
|
||||
])
|
||||
if is_performance_critical(code_context):
|
||||
agents.append("performance-analyst")
|
||||
return agents
|
||||
```
|
||||
|
||||
After all agents complete their reviews, consolidate findings into:
|
||||
### 2. Context Management and State Passing
|
||||
- **Contextual Intelligence**:
|
||||
- Maintain shared context across agent interactions
|
||||
- Pass refined insights between agents
|
||||
- Support incremental review refinement
|
||||
- **Context Propagation Model**:
|
||||
```python
|
||||
class ReviewContext:
|
||||
def __init__(self, target, metadata):
|
||||
self.target = target
|
||||
self.metadata = metadata
|
||||
self.agent_insights = {}
|
||||
|
||||
1. **Critical Issues** - Must fix before merge
|
||||
- Security vulnerabilities
|
||||
- Broken functionality
|
||||
- Major architectural flaws
|
||||
def update_insights(self, agent_type, insights):
|
||||
self.agent_insights[agent_type] = insights
|
||||
```
|
||||
|
||||
2. **Important Issues** - Should fix soon
|
||||
- Performance problems
|
||||
- Code quality issues
|
||||
- Missing tests
|
||||
### 3. Parallel vs Sequential Execution
|
||||
- **Hybrid Execution Strategy**:
|
||||
- Parallel execution for independent reviews
|
||||
- Sequential processing for dependent insights
|
||||
- Intelligent timeout and fallback mechanisms
|
||||
- **Execution Flow**:
|
||||
```python
|
||||
def execute_review(review_context):
|
||||
# Parallel independent agents
|
||||
parallel_agents = [
|
||||
"code-quality-reviewer",
|
||||
"security-auditor"
|
||||
]
|
||||
|
||||
3. **Minor Issues** - Nice to fix
|
||||
- Style inconsistencies
|
||||
- Documentation gaps
|
||||
- Refactoring opportunities
|
||||
# Sequential dependent agents
|
||||
sequential_agents = [
|
||||
"architecture-reviewer",
|
||||
"performance-optimizer"
|
||||
]
|
||||
```
|
||||
|
||||
4. **Positive Findings** - Good practices to highlight
|
||||
- Well-designed components
|
||||
- Good test coverage
|
||||
- Security best practices
|
||||
### 4. Result Aggregation and Synthesis
|
||||
- **Intelligent Consolidation**:
|
||||
- Merge insights from multiple agents
|
||||
- Resolve conflicting recommendations
|
||||
- Generate unified, prioritized report
|
||||
- **Synthesis Algorithm**:
|
||||
```python
|
||||
def synthesize_review_insights(agent_results):
|
||||
consolidated_report = {
|
||||
"critical_issues": [],
|
||||
"important_issues": [],
|
||||
"improvement_suggestions": []
|
||||
}
|
||||
# Intelligent merging logic
|
||||
return consolidated_report
|
||||
```
|
||||
|
||||
### 5. Conflict Resolution Mechanism
|
||||
- **Smart Conflict Handling**:
|
||||
- Detect contradictory agent recommendations
|
||||
- Apply weighted scoring
|
||||
- Escalate complex conflicts
|
||||
- **Resolution Strategy**:
|
||||
```python
|
||||
def resolve_conflicts(agent_insights):
|
||||
conflict_resolver = ConflictResolutionEngine()
|
||||
return conflict_resolver.process(agent_insights)
|
||||
```
|
||||
|
||||
### 6. Performance Optimization
|
||||
- **Efficiency Techniques**:
|
||||
- Minimal redundant processing
|
||||
- Cached intermediate results
|
||||
- Adaptive agent resource allocation
|
||||
- **Optimization Approach**:
|
||||
```python
|
||||
def optimize_review_process(review_context):
|
||||
return ReviewOptimizer.allocate_resources(review_context)
|
||||
```
|
||||
|
||||
### 7. Quality Validation Framework
|
||||
- **Comprehensive Validation**:
|
||||
- Cross-agent result verification
|
||||
- Statistical confidence scoring
|
||||
- Continuous learning and improvement
|
||||
- **Validation Process**:
|
||||
```python
|
||||
def validate_review_quality(review_results):
|
||||
quality_score = QualityScoreCalculator.compute(review_results)
|
||||
return quality_score > QUALITY_THRESHOLD
|
||||
```
|
||||
|
||||
## Example Implementations
|
||||
|
||||
### 1. Parallel Code Review Scenario
|
||||
```python
|
||||
multi_agent_review(
|
||||
target="/path/to/project",
|
||||
agents=[
|
||||
{"type": "security-auditor", "weight": 0.3},
|
||||
{"type": "architecture-reviewer", "weight": 0.3},
|
||||
{"type": "performance-analyst", "weight": 0.2}
|
||||
]
|
||||
)
|
||||
```
|
||||
|
||||
### 2. Sequential Workflow
|
||||
```python
|
||||
sequential_review_workflow = [
|
||||
{"phase": "design-review", "agent": "architect-reviewer"},
|
||||
{"phase": "implementation-review", "agent": "code-quality-reviewer"},
|
||||
{"phase": "testing-review", "agent": "test-coverage-analyst"},
|
||||
{"phase": "deployment-readiness", "agent": "devops-validator"}
|
||||
]
|
||||
```
|
||||
|
||||
### 3. Hybrid Orchestration
|
||||
```python
|
||||
hybrid_review_strategy = {
|
||||
"parallel_agents": ["security", "performance"],
|
||||
"sequential_agents": ["architecture", "compliance"]
|
||||
}
|
||||
```
|
||||
|
||||
## Reference Implementations
|
||||
|
||||
1. **Web Application Security Review**
|
||||
2. **Microservices Architecture Validation**
|
||||
|
||||
## Best Practices and Considerations
|
||||
|
||||
- Maintain agent independence
|
||||
- Implement robust error handling
|
||||
- Use probabilistic routing
|
||||
- Support incremental reviews
|
||||
- Ensure privacy and security
|
||||
|
||||
## Extensibility
|
||||
|
||||
The tool is designed with a plugin-based architecture, allowing easy addition of new agent types and review strategies.
|
||||
|
||||
## Invocation
|
||||
|
||||
Target for review: $ARGUMENTS
|
||||
398
tools/onboard.md
398
tools/onboard.md
@@ -1,28 +1,394 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Onboard
|
||||
|
||||
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. Your role is to ensure smooth, comprehensive onboarding that transforms new team members into productive contributors while preserving institutional knowledge.
|
||||
|
||||
## Context
|
||||
|
||||
This tool orchestrates the complete onboarding experience for new team members, from pre-arrival preparation through their first 90 days. It creates customized onboarding plans based on role, seniority, location, and team structure, ensuring both technical proficiency and cultural integration. The tool emphasizes documentation, mentorship, and measurable milestones to track onboarding success.
|
||||
|
||||
## Requirements
|
||||
|
||||
You are given the following context:
|
||||
$ARGUMENTS
|
||||
|
||||
## Instructions
|
||||
Parse the arguments to understand:
|
||||
- **Role details**: Position title, level, team, reporting structure
|
||||
- **Start date**: When the new hire begins
|
||||
- **Location**: Remote, hybrid, or on-site specifics
|
||||
- **Technical requirements**: Languages, frameworks, tools needed
|
||||
- **Team context**: Size, distribution, working patterns
|
||||
- **Special considerations**: Fast-track needs, domain expertise required
|
||||
|
||||
"AI models are geniuses who start from scratch on every task." - Noam Brown
|
||||
## Pre-Onboarding Preparation
|
||||
|
||||
Your job is to "onboard" yourself to the current task.
|
||||
Before the new hire's first day, ensure complete readiness:
|
||||
|
||||
Do this by:
|
||||
1. **Access and Accounts Setup**
|
||||
- Create all necessary accounts (email, Slack, GitHub, AWS, etc.)
|
||||
- Configure SSO and 2FA requirements
|
||||
- Prepare hardware (laptop, monitors, peripherals) with shipping tracking
|
||||
- Generate temporary credentials and password manager setup guide
|
||||
- Schedule IT support session for Day 1
|
||||
|
||||
- Using ultrathink
|
||||
- Exploring the codebase
|
||||
- Making use of any MCP tools at your disposal for planning and research
|
||||
- Asking me questions if needed
|
||||
- Using subagents for dividing work and seperation of concerns
|
||||
2. **Documentation Preparation**
|
||||
- Compile role-specific documentation package
|
||||
- Update team roster and org charts
|
||||
- Prepare personalized onboarding checklist
|
||||
- Create welcome packet with company handbook, benefits guide
|
||||
- Record welcome videos from team members
|
||||
|
||||
The goal is to get you fully prepared to start working on the task.
|
||||
3. **Workspace Configuration**
|
||||
- For remote: Verify home office setup requirements and stipend
|
||||
- For on-site: Assign desk, access badges, parking
|
||||
- Order business cards and nameplate
|
||||
- Configure calendar with initial meetings
|
||||
|
||||
Take as long as you need to get yourself ready. Overdoing it is better than underdoing it.
|
||||
## Day 1 Orientation and Setup
|
||||
|
||||
Record everything in a .claude/tasks/[TASK_ID]/onboarding.md file. This file will be used to onboard you to the task in a new session if needed, so make sure it's comprehensive.
|
||||
First day focus on warmth, clarity, and essential setup:
|
||||
|
||||
1. **Welcome and Orientation (Morning)**
|
||||
- Manager 1:1 welcome (30 min)
|
||||
- Company mission, values, and culture overview (45 min)
|
||||
- Team introductions and virtual coffee chats
|
||||
- Role expectations and success criteria discussion
|
||||
- Review of first-week schedule
|
||||
|
||||
2. **Technical Setup (Afternoon)**
|
||||
- IT-guided laptop configuration
|
||||
- Development environment initial setup
|
||||
- Password manager and security tools
|
||||
- Communication tools (Slack workspaces, channels)
|
||||
- Calendar and meeting tools configuration
|
||||
|
||||
3. **Administrative Completion**
|
||||
- HR paperwork and benefits enrollment
|
||||
- Emergency contact information
|
||||
- Photo for directory and badge
|
||||
- Expense and timesheet system training
|
||||
|
||||
## Week 1 Codebase Immersion
|
||||
|
||||
Systematic introduction to technical landscape:
|
||||
|
||||
1. **Repository Orientation**
|
||||
- Architecture overview and system diagrams
|
||||
- Main repositories walkthrough with tech lead
|
||||
- Development workflow and branching strategy
|
||||
- Code style guides and conventions
|
||||
- Testing philosophy and coverage requirements
|
||||
|
||||
2. **Development Practices**
|
||||
- Pull request process and review culture
|
||||
- CI/CD pipeline introduction
|
||||
- Deployment procedures and environments
|
||||
- Monitoring and logging systems tour
|
||||
- Incident response procedures
|
||||
|
||||
3. **First Code Contributions**
|
||||
- Identify "good first issues" labeled tasks
|
||||
- Pair programming session on simple fix
|
||||
- Submit first PR with buddy guidance
|
||||
- Participate in first code review
|
||||
|
||||
## Development Environment Setup
|
||||
|
||||
Complete configuration for productive development:
|
||||
|
||||
1. **Local Environment**
|
||||
```
|
||||
- IDE/Editor setup (VSCode, IntelliJ, Vim)
|
||||
- Extensions and plugins installation
|
||||
- Linters, formatters, and code quality tools
|
||||
- Debugger configuration
|
||||
- Git configuration and SSH keys
|
||||
```
|
||||
|
||||
2. **Service Access**
|
||||
- Database connections and read-only access
|
||||
- API keys and service credentials (via secrets manager)
|
||||
- Staging and development environment access
|
||||
- Monitoring dashboard permissions
|
||||
- Documentation wiki edit rights
|
||||
|
||||
3. **Toolchain Mastery**
|
||||
- Build tool configuration (npm, gradle, make)
|
||||
- Container setup (Docker, Kubernetes access)
|
||||
- Testing framework familiarization
|
||||
- Performance profiling tools
|
||||
- Security scanning integration
|
||||
|
||||
## Team Integration and Culture
|
||||
|
||||
Building relationships and understanding team dynamics:
|
||||
|
||||
1. **Buddy System Implementation**
|
||||
- Assign dedicated onboarding buddy for 30 days
|
||||
- Daily check-ins for first week (15 min)
|
||||
- Weekly sync meetings thereafter
|
||||
- Buddy responsibility checklist and training
|
||||
- Feedback channel for concerns
|
||||
|
||||
2. **Team Immersion Activities**
|
||||
- Shadow team ceremonies (standups, retros, planning)
|
||||
- 1:1 meetings with each team member (30 min each)
|
||||
- Cross-functional introductions (Product, Design, QA)
|
||||
- Virtual lunch sessions or coffee chats
|
||||
- Team traditions and social channels participation
|
||||
|
||||
3. **Communication Norms**
|
||||
- Slack etiquette and channel purposes
|
||||
- Meeting culture and documentation practices
|
||||
- Async communication expectations
|
||||
- Time zone considerations and core hours
|
||||
- Escalation paths and decision-making process
|
||||
|
||||
## Learning Resources and Documentation
|
||||
|
||||
Curated learning paths for role proficiency:
|
||||
|
||||
1. **Technical Learning Path**
|
||||
- Domain-specific courses and certifications
|
||||
- Internal tech talks and brown bags library
|
||||
- Recommended books and articles
|
||||
- Conference talk recordings
|
||||
- Hands-on labs and sandboxes
|
||||
|
||||
2. **Product Knowledge**
|
||||
- Product demos and user journey walkthroughs
|
||||
- Customer personas and use cases
|
||||
- Competitive landscape overview
|
||||
- Roadmap and vision presentations
|
||||
- Feature flag experiments participation
|
||||
|
||||
3. **Knowledge Management**
|
||||
- Documentation contribution guidelines
|
||||
- Wiki navigation and search tips
|
||||
- Runbook creation and maintenance
|
||||
- ADR (Architecture Decision Records) process
|
||||
- Knowledge sharing expectations
|
||||
|
||||
## Milestone Tracking and Check-ins
|
||||
|
||||
Structured progress monitoring and feedback:
|
||||
|
||||
1. **30-Day Milestone**
|
||||
- Complete all mandatory training
|
||||
- Merge at least 3 pull requests
|
||||
- Document one process or system
|
||||
- Present learnings to team (10 min)
|
||||
- Manager feedback session and adjustment
|
||||
|
||||
2. **60-Day Milestone**
|
||||
- Own a small feature end-to-end
|
||||
- Participate in on-call rotation shadow
|
||||
- Contribute to technical design discussion
|
||||
- Establish working relationships across teams
|
||||
- Self-assessment and goal setting
|
||||
|
||||
3. **90-Day Milestone**
|
||||
- Independent feature delivery
|
||||
- Active code review participation
|
||||
- Mentor a newer team member
|
||||
- Propose process improvement
|
||||
- Performance review and permanent role confirmation
|
||||
|
||||
## Feedback Loops and Continuous Improvement
|
||||
|
||||
Ensuring onboarding effectiveness and iteration:
|
||||
|
||||
1. **Feedback Collection**
|
||||
- Weekly pulse surveys (5 questions)
|
||||
- Buddy feedback forms
|
||||
- Manager 1:1 structured questions
|
||||
- Anonymous feedback channel option
|
||||
- Exit interviews for onboarding gaps
|
||||
|
||||
2. **Onboarding Metrics**
|
||||
- Time to first commit
|
||||
- Time to first production deploy
|
||||
- Ramp-up velocity tracking
|
||||
- Knowledge retention assessments
|
||||
- Team integration satisfaction scores
|
||||
|
||||
3. **Program Refinement**
|
||||
- Quarterly onboarding retrospectives
|
||||
- Success story documentation
|
||||
- Failure pattern analysis
|
||||
- Onboarding handbook updates
|
||||
- Buddy program training improvements
|
||||
|
||||
## Example Plans
|
||||
|
||||
### Software Engineer Onboarding (30/60/90 Day Plan)
|
||||
|
||||
**Pre-Start (1 week before)**
|
||||
- [ ] Laptop shipped with tracking confirmation
|
||||
- [ ] Accounts created: GitHub, Slack, Jira, AWS
|
||||
- [ ] Welcome email with Day 1 agenda sent
|
||||
- [ ] Buddy assigned and introduced via email
|
||||
- [ ] Manager prep: role doc, first tasks identified
|
||||
|
||||
**Day 1-7: Foundation**
|
||||
- [ ] IT setup and security training (Day 1)
|
||||
- [ ] Team introductions and role overview (Day 1)
|
||||
- [ ] Development environment setup (Day 2-3)
|
||||
- [ ] First PR merged (good first issue) (Day 4-5)
|
||||
- [ ] Architecture overview sessions (Day 5-7)
|
||||
- [ ] Daily buddy check-ins (15 min)
|
||||
|
||||
**Week 2-4: Immersion**
|
||||
- [ ] Complete 5+ PR reviews as observer
|
||||
- [ ] Shadow senior engineer for 1 full day
|
||||
- [ ] Attend all team ceremonies
|
||||
- [ ] Complete product deep-dive sessions
|
||||
- [ ] Document one unclear process
|
||||
- [ ] Set up local development for all services
|
||||
|
||||
**Day 30 Checkpoint:**
|
||||
- 10+ commits merged
|
||||
- All onboarding modules complete
|
||||
- Team relationships established
|
||||
- Development environment fully functional
|
||||
- First bug fix deployed to production
|
||||
|
||||
**Day 31-60: Contribution**
|
||||
- [ ] Own first small feature (2-3 day effort)
|
||||
- [ ] Participate in technical design review
|
||||
- [ ] Shadow on-call engineer for 1 shift
|
||||
- [ ] Present tech talk on previous experience
|
||||
- [ ] Pair program with 3+ team members
|
||||
- [ ] Contribute to team documentation
|
||||
|
||||
**Day 60 Checkpoint:**
|
||||
- First feature shipped to production
|
||||
- Active in code reviews (giving feedback)
|
||||
- On-call ready (shadowing complete)
|
||||
- Technical documentation contributed
|
||||
- Cross-team relationships building
|
||||
|
||||
**Day 61-90: Integration**
|
||||
- [ ] Lead a small project independently
|
||||
- [ ] Participate in planning and estimation
|
||||
- [ ] Handle on-call issues with supervision
|
||||
- [ ] Mentor newer team member
|
||||
- [ ] Propose one process improvement
|
||||
- [ ] Build relationship with product/design
|
||||
|
||||
**Day 90 Final Review:**
|
||||
- Fully autonomous on team tasks
|
||||
- Actively contributing to team culture
|
||||
- On-call rotation ready
|
||||
- Mentoring capabilities demonstrated
|
||||
- Process improvements identified
|
||||
|
||||
### Remote Employee Onboarding (Distributed Team)
|
||||
|
||||
**Week 0: Pre-Boarding**
|
||||
- [ ] Home office stipend processed ($1,500)
|
||||
- [ ] Equipment ordered: laptop, monitor, desk accessories
|
||||
- [ ] Welcome package sent: swag, notebook, coffee
|
||||
- [ ] Virtual team lunch scheduled for Day 1
|
||||
- [ ] Time zone preferences documented
|
||||
|
||||
**Week 1: Virtual Integration**
|
||||
- [ ] Day 1: Virtual welcome breakfast with team
|
||||
- [ ] Timezone-friendly meeting schedule created
|
||||
- [ ] Slack presence hours established
|
||||
- [ ] Virtual office tour and tool walkthrough
|
||||
- [ ] Async communication norms training
|
||||
- [ ] Daily "coffee chats" with different team members
|
||||
|
||||
**Week 2-4: Remote Collaboration**
|
||||
- [ ] Pair programming sessions across timezones
|
||||
- [ ] Async code review participation
|
||||
- [ ] Documentation of working hours and availability
|
||||
- [ ] Virtual whiteboarding session participation
|
||||
- [ ] Recording of important sessions for replay
|
||||
- [ ] Contribution to team wiki and runbooks
|
||||
|
||||
**Ongoing Remote Success:**
|
||||
- Weekly 1:1 video calls with manager
|
||||
- Monthly virtual team social events
|
||||
- Quarterly in-person team gathering (if possible)
|
||||
- Clear async communication protocols
|
||||
- Documented decision-making process
|
||||
- Regular feedback on remote experience
|
||||
|
||||
### Senior/Lead Engineer Onboarding (Accelerated)
|
||||
|
||||
**Week 1: Rapid Immersion**
|
||||
- [ ] Day 1: Leadership team introductions
|
||||
- [ ] Day 2: Full system architecture deep-dive
|
||||
- [ ] Day 3: Current challenges and priorities briefing
|
||||
- [ ] Day 4: Codebase archaeology with principal engineer
|
||||
- [ ] Day 5: Stakeholder meetings (Product, Design, QA)
|
||||
- [ ] End of week: Initial observations documented
|
||||
|
||||
**Week 2-3: Assessment and Planning**
|
||||
- [ ] Review last quarter's postmortems
|
||||
- [ ] Analyze technical debt backlog
|
||||
- [ ] Audit current team processes
|
||||
- [ ] Identify quick wins (1-week improvements)
|
||||
- [ ] Begin relationship building with other teams
|
||||
- [ ] Propose initial technical improvements
|
||||
|
||||
**Week 4: Taking Ownership**
|
||||
- [ ] Lead first team ceremony (retro or planning)
|
||||
- [ ] Own critical technical decision
|
||||
- [ ] Establish 1:1 cadence with team members
|
||||
- [ ] Define technical vision alignment
|
||||
- [ ] Start mentoring program participation
|
||||
- [ ] Submit first major architectural proposal
|
||||
|
||||
**30-Day Deliverables:**
|
||||
- Technical assessment document
|
||||
- Team process improvement plan
|
||||
- Relationship map established
|
||||
- First major PR merged
|
||||
- Technical roadmap contribution
|
||||
|
||||
## Reference Examples
|
||||
|
||||
### Complete Day 1 Checklist
|
||||
|
||||
**Morning (9:00 AM - 12:00 PM)**
|
||||
```checklist
|
||||
- [ ] Manager welcome and agenda review (30 min)
|
||||
- [ ] HR benefits and paperwork (45 min)
|
||||
- [ ] Company culture presentation (30 min)
|
||||
- [ ] Team standup observation (15 min)
|
||||
- [ ] Break and informal chat (30 min)
|
||||
- [ ] Security training and 2FA setup (30 min)
|
||||
```
|
||||
|
||||
**Afternoon (1:00 PM - 5:00 PM)**
|
||||
```checklist
|
||||
- [ ] Lunch with buddy and team (60 min)
|
||||
- [ ] Laptop setup with IT support (90 min)
|
||||
- [ ] Slack and communication tools (30 min)
|
||||
- [ ] First Git commit ceremony (30 min)
|
||||
- [ ] Team happy hour or social (30 min)
|
||||
- [ ] Day 1 feedback survey (10 min)
|
||||
```
|
||||
|
||||
### Buddy Responsibility Matrix
|
||||
|
||||
| Week | Frequency | Activities | Time Commitment |
|
||||
|------|-----------|------------|----------------|
|
||||
| 1 | Daily | Morning check-in, pair programming, question answering | 2 hours/day |
|
||||
| 2-3 | 3x/week | Code review together, architecture discussions, social lunch | 1 hour/day |
|
||||
| 4 | 2x/week | Project collaboration, introduction facilitation | 30 min/day |
|
||||
| 5-8 | Weekly | Progress check-in, career development chat | 1 hour/week |
|
||||
| 9-12 | Bi-weekly | Mentorship transition, success celebration | 30 min/week |
|
||||
|
||||
## Execution Guidelines
|
||||
|
||||
1. **Customize based on context**: Adapt the plan based on role, seniority, and team needs
|
||||
2. **Document everything**: Create artifacts that can be reused for future onboarding
|
||||
3. **Measure success**: Track metrics and gather feedback continuously
|
||||
4. **Iterate rapidly**: Adjust the plan based on what's working
|
||||
5. **Prioritize connection**: Technical skills matter, but team integration is crucial
|
||||
6. **Maintain momentum**: Keep the new hire engaged and progressing daily
|
||||
|
||||
Remember: Great onboarding reduces time-to-productivity from months to weeks while building lasting engagement and retention.
|
||||
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Pull Request Enhancement
|
||||
|
||||
You are a PR optimization expert specializing in creating high-quality pull requests that facilitate efficient code reviews. Generate comprehensive PR descriptions, automate review processes, and ensure PRs follow best practices for clarity, size, and reviewability.
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Refactor and Clean Code
|
||||
|
||||
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
|
||||
@@ -59,7 +55,7 @@ def process_order(order):
|
||||
# 50 lines of validation
|
||||
# 30 lines of calculation
|
||||
# 40 lines of notification
|
||||
|
||||
|
||||
# After
|
||||
def process_order(order):
|
||||
validate_order(order)
|
||||
@@ -80,7 +76,619 @@ def process_order(order):
|
||||
- Repository pattern for data access
|
||||
- Decorator pattern for extending behavior
|
||||
|
||||
### 3. Refactored Implementation
|
||||
### 3. SOLID Principles in Action
|
||||
|
||||
Provide concrete examples of applying each SOLID principle:
|
||||
|
||||
**Single Responsibility Principle (SRP)**
|
||||
```python
|
||||
# BEFORE: Multiple responsibilities in one class
|
||||
class UserManager:
|
||||
def create_user(self, data):
|
||||
# Validate data
|
||||
# Save to database
|
||||
# Send welcome email
|
||||
# Log activity
|
||||
# Update cache
|
||||
pass
|
||||
|
||||
# AFTER: Each class has one responsibility
|
||||
class UserValidator:
|
||||
def validate(self, data): pass
|
||||
|
||||
class UserRepository:
|
||||
def save(self, user): pass
|
||||
|
||||
class EmailService:
|
||||
def send_welcome_email(self, user): pass
|
||||
|
||||
class UserActivityLogger:
|
||||
def log_creation(self, user): pass
|
||||
|
||||
class UserService:
|
||||
def __init__(self, validator, repository, email_service, logger):
|
||||
self.validator = validator
|
||||
self.repository = repository
|
||||
self.email_service = email_service
|
||||
self.logger = logger
|
||||
|
||||
def create_user(self, data):
|
||||
self.validator.validate(data)
|
||||
user = self.repository.save(data)
|
||||
self.email_service.send_welcome_email(user)
|
||||
self.logger.log_creation(user)
|
||||
return user
|
||||
```
|
||||
|
||||
**Open/Closed Principle (OCP)**
|
||||
```python
|
||||
# BEFORE: Modification required for new discount types
|
||||
class DiscountCalculator:
|
||||
def calculate(self, order, discount_type):
|
||||
if discount_type == "percentage":
|
||||
return order.total * 0.1
|
||||
elif discount_type == "fixed":
|
||||
return 10
|
||||
elif discount_type == "tiered":
|
||||
# More logic
|
||||
pass
|
||||
|
||||
# AFTER: Open for extension, closed for modification
|
||||
from abc import ABC, abstractmethod
|
||||
|
||||
class DiscountStrategy(ABC):
|
||||
@abstractmethod
|
||||
def calculate(self, order): pass
|
||||
|
||||
class PercentageDiscount(DiscountStrategy):
|
||||
def __init__(self, percentage):
|
||||
self.percentage = percentage
|
||||
|
||||
def calculate(self, order):
|
||||
return order.total * self.percentage
|
||||
|
||||
class FixedDiscount(DiscountStrategy):
|
||||
def __init__(self, amount):
|
||||
self.amount = amount
|
||||
|
||||
def calculate(self, order):
|
||||
return self.amount
|
||||
|
||||
class TieredDiscount(DiscountStrategy):
|
||||
def calculate(self, order):
|
||||
if order.total > 1000: return order.total * 0.15
|
||||
if order.total > 500: return order.total * 0.10
|
||||
return order.total * 0.05
|
||||
|
||||
class DiscountCalculator:
|
||||
def calculate(self, order, strategy: DiscountStrategy):
|
||||
return strategy.calculate(order)
|
||||
```
|
||||
|
||||
**Liskov Substitution Principle (LSP)**
|
||||
```typescript
|
||||
// BEFORE: Violates LSP - Square changes Rectangle behavior
|
||||
class Rectangle {
|
||||
constructor(protected width: number, protected height: number) {}
|
||||
|
||||
setWidth(width: number) { this.width = width; }
|
||||
setHeight(height: number) { this.height = height; }
|
||||
area(): number { return this.width * this.height; }
|
||||
}
|
||||
|
||||
class Square extends Rectangle {
|
||||
setWidth(width: number) {
|
||||
this.width = width;
|
||||
this.height = width; // Breaks LSP
|
||||
}
|
||||
setHeight(height: number) {
|
||||
this.width = height;
|
||||
this.height = height; // Breaks LSP
|
||||
}
|
||||
}
|
||||
|
||||
// AFTER: Proper abstraction respects LSP
|
||||
interface Shape {
|
||||
area(): number;
|
||||
}
|
||||
|
||||
class Rectangle implements Shape {
|
||||
constructor(private width: number, private height: number) {}
|
||||
area(): number { return this.width * this.height; }
|
||||
}
|
||||
|
||||
class Square implements Shape {
|
||||
constructor(private side: number) {}
|
||||
area(): number { return this.side * this.side; }
|
||||
}
|
||||
```
|
||||
|
||||
**Interface Segregation Principle (ISP)**
|
||||
```java
|
||||
// BEFORE: Fat interface forces unnecessary implementations
|
||||
interface Worker {
|
||||
void work();
|
||||
void eat();
|
||||
void sleep();
|
||||
}
|
||||
|
||||
class Robot implements Worker {
|
||||
public void work() { /* work */ }
|
||||
public void eat() { /* robots don't eat! */ }
|
||||
public void sleep() { /* robots don't sleep! */ }
|
||||
}
|
||||
|
||||
// AFTER: Segregated interfaces
|
||||
interface Workable {
|
||||
void work();
|
||||
}
|
||||
|
||||
interface Eatable {
|
||||
void eat();
|
||||
}
|
||||
|
||||
interface Sleepable {
|
||||
void sleep();
|
||||
}
|
||||
|
||||
class Human implements Workable, Eatable, Sleepable {
|
||||
public void work() { /* work */ }
|
||||
public void eat() { /* eat */ }
|
||||
public void sleep() { /* sleep */ }
|
||||
}
|
||||
|
||||
class Robot implements Workable {
|
||||
public void work() { /* work */ }
|
||||
}
|
||||
```
|
||||
|
||||
**Dependency Inversion Principle (DIP)**
|
||||
```go
|
||||
// BEFORE: High-level module depends on low-level module
|
||||
type MySQLDatabase struct{}
|
||||
|
||||
func (db *MySQLDatabase) Save(data string) {}
|
||||
|
||||
type UserService struct {
|
||||
db *MySQLDatabase // Tight coupling
|
||||
}
|
||||
|
||||
func (s *UserService) CreateUser(name string) {
|
||||
s.db.Save(name)
|
||||
}
|
||||
|
||||
// AFTER: Both depend on abstraction
|
||||
type Database interface {
|
||||
Save(data string)
|
||||
}
|
||||
|
||||
type MySQLDatabase struct{}
|
||||
func (db *MySQLDatabase) Save(data string) {}
|
||||
|
||||
type PostgresDatabase struct{}
|
||||
func (db *PostgresDatabase) Save(data string) {}
|
||||
|
||||
type UserService struct {
|
||||
db Database // Depends on abstraction
|
||||
}
|
||||
|
||||
func NewUserService(db Database) *UserService {
|
||||
return &UserService{db: db}
|
||||
}
|
||||
|
||||
func (s *UserService) CreateUser(name string) {
|
||||
s.db.Save(name)
|
||||
}
|
||||
```
|
||||
|
||||
### 4. Complete Refactoring Scenarios
|
||||
|
||||
**Scenario 1: Legacy Monolith to Clean Modular Architecture**
|
||||
|
||||
```python
|
||||
# BEFORE: 500-line monolithic file
|
||||
class OrderSystem:
|
||||
def process_order(self, order_data):
|
||||
# Validation (100 lines)
|
||||
if not order_data.get('customer_id'):
|
||||
return {'error': 'No customer'}
|
||||
if not order_data.get('items'):
|
||||
return {'error': 'No items'}
|
||||
# Database operations mixed in (150 lines)
|
||||
conn = mysql.connector.connect(host='localhost', user='root')
|
||||
cursor = conn.cursor()
|
||||
cursor.execute("INSERT INTO orders...")
|
||||
# Business logic (100 lines)
|
||||
total = 0
|
||||
for item in order_data['items']:
|
||||
total += item['price'] * item['quantity']
|
||||
# Email notifications (80 lines)
|
||||
smtp = smtplib.SMTP('smtp.gmail.com')
|
||||
smtp.sendmail(...)
|
||||
# Logging and analytics (70 lines)
|
||||
log_file = open('/var/log/orders.log', 'a')
|
||||
log_file.write(f"Order processed: {order_data}")
|
||||
|
||||
# AFTER: Clean, modular architecture
|
||||
# domain/entities.py
|
||||
from dataclasses import dataclass
|
||||
from typing import List
|
||||
from decimal import Decimal
|
||||
|
||||
@dataclass
|
||||
class OrderItem:
|
||||
product_id: str
|
||||
quantity: int
|
||||
price: Decimal
|
||||
|
||||
@dataclass
|
||||
class Order:
|
||||
customer_id: str
|
||||
items: List[OrderItem]
|
||||
|
||||
@property
|
||||
def total(self) -> Decimal:
|
||||
return sum(item.price * item.quantity for item in self.items)
|
||||
|
||||
# domain/repositories.py
|
||||
from abc import ABC, abstractmethod
|
||||
|
||||
class OrderRepository(ABC):
|
||||
@abstractmethod
|
||||
def save(self, order: Order) -> str: pass
|
||||
|
||||
@abstractmethod
|
||||
def find_by_id(self, order_id: str) -> Order: pass
|
||||
|
||||
# infrastructure/mysql_order_repository.py
|
||||
class MySQLOrderRepository(OrderRepository):
|
||||
def __init__(self, connection_pool):
|
||||
self.pool = connection_pool
|
||||
|
||||
def save(self, order: Order) -> str:
|
||||
with self.pool.get_connection() as conn:
|
||||
cursor = conn.cursor()
|
||||
cursor.execute(
|
||||
"INSERT INTO orders (customer_id, total) VALUES (%s, %s)",
|
||||
(order.customer_id, order.total)
|
||||
)
|
||||
return cursor.lastrowid
|
||||
|
||||
# application/validators.py
|
||||
class OrderValidator:
|
||||
def validate(self, order: Order) -> None:
|
||||
if not order.customer_id:
|
||||
raise ValueError("Customer ID is required")
|
||||
if not order.items:
|
||||
raise ValueError("Order must contain items")
|
||||
if order.total <= 0:
|
||||
raise ValueError("Order total must be positive")
|
||||
|
||||
# application/services.py
|
||||
class OrderService:
|
||||
def __init__(
|
||||
self,
|
||||
validator: OrderValidator,
|
||||
repository: OrderRepository,
|
||||
email_service: EmailService,
|
||||
logger: Logger
|
||||
):
|
||||
self.validator = validator
|
||||
self.repository = repository
|
||||
self.email_service = email_service
|
||||
self.logger = logger
|
||||
|
||||
def process_order(self, order: Order) -> str:
|
||||
self.validator.validate(order)
|
||||
order_id = self.repository.save(order)
|
||||
self.email_service.send_confirmation(order)
|
||||
self.logger.info(f"Order {order_id} processed successfully")
|
||||
return order_id
|
||||
```
|
||||
|
||||
**Scenario 2: Code Smell Resolution Catalog**
|
||||
|
||||
```typescript
|
||||
// SMELL: Long Parameter List
|
||||
// BEFORE
|
||||
function createUser(
|
||||
firstName: string,
|
||||
lastName: string,
|
||||
email: string,
|
||||
phone: string,
|
||||
address: string,
|
||||
city: string,
|
||||
state: string,
|
||||
zipCode: string
|
||||
) {}
|
||||
|
||||
// AFTER: Parameter Object
|
||||
interface UserData {
|
||||
firstName: string;
|
||||
lastName: string;
|
||||
email: string;
|
||||
phone: string;
|
||||
address: Address;
|
||||
}
|
||||
|
||||
interface Address {
|
||||
street: string;
|
||||
city: string;
|
||||
state: string;
|
||||
zipCode: string;
|
||||
}
|
||||
|
||||
function createUser(userData: UserData) {}
|
||||
|
||||
// SMELL: Feature Envy (method uses another class's data more than its own)
|
||||
// BEFORE
|
||||
class Order {
|
||||
calculateShipping(customer: Customer): number {
|
||||
if (customer.isPremium) {
|
||||
return customer.address.isInternational ? 0 : 5;
|
||||
}
|
||||
return customer.address.isInternational ? 20 : 10;
|
||||
}
|
||||
}
|
||||
|
||||
// AFTER: Move method to the class it envies
|
||||
class Customer {
|
||||
calculateShippingCost(): number {
|
||||
if (this.isPremium) {
|
||||
return this.address.isInternational ? 0 : 5;
|
||||
}
|
||||
return this.address.isInternational ? 20 : 10;
|
||||
}
|
||||
}
|
||||
|
||||
class Order {
|
||||
calculateShipping(customer: Customer): number {
|
||||
return customer.calculateShippingCost();
|
||||
}
|
||||
}
|
||||
|
||||
// SMELL: Primitive Obsession
|
||||
// BEFORE
|
||||
function validateEmail(email: string): boolean {
|
||||
return /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email);
|
||||
}
|
||||
|
||||
let userEmail: string = "test@example.com";
|
||||
|
||||
// AFTER: Value Object
|
||||
class Email {
|
||||
private readonly value: string;
|
||||
|
||||
constructor(email: string) {
|
||||
if (!this.isValid(email)) {
|
||||
throw new Error("Invalid email format");
|
||||
}
|
||||
this.value = email;
|
||||
}
|
||||
|
||||
private isValid(email: string): boolean {
|
||||
return /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email);
|
||||
}
|
||||
|
||||
toString(): string {
|
||||
return this.value;
|
||||
}
|
||||
}
|
||||
|
||||
let userEmail = new Email("test@example.com"); // Validation automatic
|
||||
```
|
||||
|
||||
### 5. Decision Frameworks
|
||||
|
||||
**Code Quality Metrics Interpretation Matrix**
|
||||
|
||||
| Metric | Good | Warning | Critical | Action |
|
||||
|--------|------|---------|----------|--------|
|
||||
| Cyclomatic Complexity | <10 | 10-15 | >15 | Split into smaller methods |
|
||||
| Method Lines | <20 | 20-50 | >50 | Extract methods, apply SRP |
|
||||
| Class Lines | <200 | 200-500 | >500 | Decompose into multiple classes |
|
||||
| Test Coverage | >80% | 60-80% | <60% | Add unit tests immediately |
|
||||
| Code Duplication | <3% | 3-5% | >5% | Extract common code |
|
||||
| Comment Ratio | 10-30% | <10% or >50% | N/A | Improve naming or reduce noise |
|
||||
| Dependency Count | <5 | 5-10 | >10 | Apply DIP, use facades |
|
||||
|
||||
**Refactoring ROI Analysis**
|
||||
|
||||
```
|
||||
Priority = (Business Value × Technical Debt) / (Effort × Risk)
|
||||
|
||||
Business Value (1-10):
|
||||
- Critical path code: 10
|
||||
- Frequently changed: 8
|
||||
- User-facing features: 7
|
||||
- Internal tools: 5
|
||||
- Legacy unused: 2
|
||||
|
||||
Technical Debt (1-10):
|
||||
- Causes production bugs: 10
|
||||
- Blocks new features: 8
|
||||
- Hard to test: 6
|
||||
- Style issues only: 2
|
||||
|
||||
Effort (hours):
|
||||
- Rename variables: 1-2
|
||||
- Extract methods: 2-4
|
||||
- Refactor class: 4-8
|
||||
- Architecture change: 40+
|
||||
|
||||
Risk (1-10):
|
||||
- No tests, high coupling: 10
|
||||
- Some tests, medium coupling: 5
|
||||
- Full tests, loose coupling: 2
|
||||
```
|
||||
|
||||
**Technical Debt Prioritization Decision Tree**
|
||||
|
||||
```
|
||||
Is it causing production bugs?
|
||||
├─ YES → Priority: CRITICAL (Fix immediately)
|
||||
└─ NO → Is it blocking new features?
|
||||
├─ YES → Priority: HIGH (Schedule this sprint)
|
||||
└─ NO → Is it frequently modified?
|
||||
├─ YES → Priority: MEDIUM (Next quarter)
|
||||
└─ NO → Is code coverage < 60%?
|
||||
├─ YES → Priority: MEDIUM (Add tests)
|
||||
└─ NO → Priority: LOW (Backlog)
|
||||
```
|
||||
|
||||
### 6. Modern Code Quality Practices (2024-2025)
|
||||
|
||||
**AI-Assisted Code Review Integration**
|
||||
|
||||
```yaml
|
||||
# .github/workflows/ai-review.yml
|
||||
name: AI Code Review
|
||||
on: [pull_request]
|
||||
|
||||
jobs:
|
||||
ai-review:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
# GitHub Copilot Autofix
|
||||
- uses: github/copilot-autofix@v1
|
||||
with:
|
||||
languages: 'python,typescript,go'
|
||||
|
||||
# CodeRabbit AI Review
|
||||
- uses: coderabbitai/action@v1
|
||||
with:
|
||||
review_type: 'comprehensive'
|
||||
focus: 'security,performance,maintainability'
|
||||
|
||||
# Codium AI PR-Agent
|
||||
- uses: codiumai/pr-agent@v1
|
||||
with:
|
||||
commands: '/review --pr_reviewer.num_code_suggestions=5'
|
||||
```
|
||||
|
||||
**Static Analysis Toolchain**
|
||||
|
||||
```python
|
||||
# pyproject.toml
|
||||
[tool.ruff]
|
||||
line-length = 100
|
||||
select = [
|
||||
"E", # pycodestyle errors
|
||||
"W", # pycodestyle warnings
|
||||
"F", # pyflakes
|
||||
"I", # isort
|
||||
"C90", # mccabe complexity
|
||||
"N", # pep8-naming
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"A", # flake8-builtins
|
||||
"C4", # flake8-comprehensions
|
||||
"SIM", # flake8-simplify
|
||||
"RET", # flake8-return
|
||||
]
|
||||
|
||||
[tool.mypy]
|
||||
strict = true
|
||||
warn_unreachable = true
|
||||
warn_unused_ignores = true
|
||||
|
||||
[tool.coverage]
|
||||
fail_under = 80
|
||||
```
|
||||
|
||||
```javascript
|
||||
// .eslintrc.json
|
||||
{
|
||||
"extends": [
|
||||
"eslint:recommended",
|
||||
"plugin:@typescript-eslint/recommended-type-checked",
|
||||
"plugin:sonarjs/recommended",
|
||||
"plugin:security/recommended"
|
||||
],
|
||||
"plugins": ["sonarjs", "security", "no-loops"],
|
||||
"rules": {
|
||||
"complexity": ["error", 10],
|
||||
"max-lines-per-function": ["error", 20],
|
||||
"max-params": ["error", 3],
|
||||
"no-loops/no-loops": "warn",
|
||||
"sonarjs/cognitive-complexity": ["error", 15]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Automated Refactoring Suggestions**
|
||||
|
||||
```python
|
||||
# Use Sourcery for automatic refactoring suggestions
|
||||
# sourcery.yaml
|
||||
rules:
|
||||
- id: convert-to-list-comprehension
|
||||
- id: merge-duplicate-blocks
|
||||
- id: use-named-expression
|
||||
- id: inline-immediately-returned-variable
|
||||
|
||||
# Example: Sourcery will suggest
|
||||
# BEFORE
|
||||
result = []
|
||||
for item in items:
|
||||
if item.is_active:
|
||||
result.append(item.name)
|
||||
|
||||
# AFTER (auto-suggested)
|
||||
result = [item.name for item in items if item.is_active]
|
||||
```
|
||||
|
||||
**Code Quality Dashboard Configuration**
|
||||
|
||||
```yaml
|
||||
# sonar-project.properties
|
||||
sonar.projectKey=my-project
|
||||
sonar.sources=src
|
||||
sonar.tests=tests
|
||||
sonar.coverage.exclusions=**/*_test.py,**/test_*.py
|
||||
sonar.python.coverage.reportPaths=coverage.xml
|
||||
|
||||
# Quality Gates
|
||||
sonar.qualitygate.wait=true
|
||||
sonar.qualitygate.timeout=300
|
||||
|
||||
# Thresholds
|
||||
sonar.coverage.threshold=80
|
||||
sonar.duplications.threshold=3
|
||||
sonar.maintainability.rating=A
|
||||
sonar.reliability.rating=A
|
||||
sonar.security.rating=A
|
||||
```
|
||||
|
||||
**Security-Focused Refactoring**
|
||||
|
||||
```python
|
||||
# Use Semgrep for security-aware refactoring
|
||||
# .semgrep.yml
|
||||
rules:
|
||||
- id: sql-injection-risk
|
||||
pattern: execute($QUERY)
|
||||
message: Potential SQL injection
|
||||
severity: ERROR
|
||||
fix: Use parameterized queries
|
||||
|
||||
- id: hardcoded-secrets
|
||||
pattern: password = "..."
|
||||
message: Hardcoded password detected
|
||||
severity: ERROR
|
||||
fix: Use environment variables or secret manager
|
||||
|
||||
# CodeQL security analysis
|
||||
# .github/workflows/codeql.yml
|
||||
- uses: github/codeql-action/analyze@v3
|
||||
with:
|
||||
category: "/language:python"
|
||||
queries: security-extended,security-and-quality
|
||||
```
|
||||
|
||||
### 7. Refactored Implementation
|
||||
|
||||
Provide the complete refactored code with:
|
||||
|
||||
@@ -105,7 +713,7 @@ class InsufficientInventoryError(Exception):
|
||||
def validate_order(order):
|
||||
if not order.items:
|
||||
raise OrderValidationError("Order must contain at least one item")
|
||||
|
||||
|
||||
for item in order.items:
|
||||
if item.quantity <= 0:
|
||||
raise OrderValidationError(f"Invalid quantity for {item.name}")
|
||||
@@ -116,20 +724,20 @@ def validate_order(order):
|
||||
def calculate_discount(order: Order, customer: Customer) -> Decimal:
|
||||
"""
|
||||
Calculate the total discount for an order based on customer tier and order value.
|
||||
|
||||
|
||||
Args:
|
||||
order: The order to calculate discount for
|
||||
customer: The customer making the order
|
||||
|
||||
|
||||
Returns:
|
||||
The discount amount as a Decimal
|
||||
|
||||
|
||||
Raises:
|
||||
ValueError: If order total is negative
|
||||
"""
|
||||
```
|
||||
|
||||
### 4. Testing Strategy
|
||||
### 8. Testing Strategy
|
||||
|
||||
Generate comprehensive tests for the refactored code:
|
||||
|
||||
@@ -140,7 +748,7 @@ class TestOrderProcessor:
|
||||
order = Order(items=[])
|
||||
with pytest.raises(OrderValidationError):
|
||||
validate_order(order)
|
||||
|
||||
|
||||
def test_calculate_discount_vip_customer(self):
|
||||
order = create_test_order(total=1000)
|
||||
customer = Customer(tier="VIP")
|
||||
@@ -154,7 +762,7 @@ class TestOrderProcessor:
|
||||
- Error conditions verified
|
||||
- Performance benchmarks included
|
||||
|
||||
### 5. Before/After Comparison
|
||||
### 9. Before/After Comparison
|
||||
|
||||
Provide clear comparisons showing improvements:
|
||||
|
||||
@@ -173,13 +781,13 @@ Before:
|
||||
|
||||
After:
|
||||
- validateInput(): 20 lines, complexity: 4
|
||||
- transformData(): 25 lines, complexity: 5
|
||||
- transformData(): 25 lines, complexity: 5
|
||||
- saveResults(): 15 lines, complexity: 3
|
||||
- 95% test coverage
|
||||
- Clear separation of concerns
|
||||
```
|
||||
|
||||
### 6. Migration Guide
|
||||
### 10. Migration Guide
|
||||
|
||||
If breaking changes are introduced:
|
||||
|
||||
@@ -196,14 +804,14 @@ If breaking changes are introduced:
|
||||
class LegacyOrderProcessor:
|
||||
def __init__(self):
|
||||
self.processor = OrderProcessor()
|
||||
|
||||
|
||||
def process(self, order_data):
|
||||
# Convert legacy format
|
||||
order = Order.from_legacy(order_data)
|
||||
return self.processor.process(order)
|
||||
```
|
||||
|
||||
### 7. Performance Optimizations
|
||||
### 11. Performance Optimizations
|
||||
|
||||
Include specific optimizations:
|
||||
|
||||
@@ -231,7 +839,7 @@ def calculate_expensive_metric(data_id: str) -> float:
|
||||
return result
|
||||
```
|
||||
|
||||
### 8. Code Quality Checklist
|
||||
### 12. Code Quality Checklist
|
||||
|
||||
Ensure the refactored code meets these criteria:
|
||||
|
||||
@@ -250,6 +858,9 @@ Ensure the refactored code meets these criteria:
|
||||
- [ ] Documentation complete
|
||||
- [ ] Tests achieve > 80% coverage
|
||||
- [ ] No security vulnerabilities
|
||||
- [ ] AI code review passed
|
||||
- [ ] Static analysis clean (SonarQube/CodeQL)
|
||||
- [ ] No hardcoded secrets
|
||||
|
||||
## Severity Levels
|
||||
|
||||
@@ -257,7 +868,7 @@ Rate issues found and improvements made:
|
||||
|
||||
**Critical**: Security vulnerabilities, data corruption risks, memory leaks
|
||||
**High**: Performance bottlenecks, maintainability blockers, missing tests
|
||||
**Medium**: Code smells, minor performance issues, incomplete documentation
|
||||
**Medium**: Code smells, minor performance issues, incomplete documentation
|
||||
**Low**: Style inconsistencies, minor naming issues, nice-to-have features
|
||||
|
||||
## Output Format
|
||||
@@ -268,5 +879,7 @@ Rate issues found and improvements made:
|
||||
4. **Test Suite**: Comprehensive tests for all refactored components
|
||||
5. **Migration Guide**: Step-by-step instructions for adopting changes
|
||||
6. **Metrics Report**: Before/after comparison of code quality metrics
|
||||
7. **AI Review Results**: Summary of automated code review findings
|
||||
8. **Quality Dashboard**: Link to SonarQube/CodeQL results
|
||||
|
||||
Focus on delivering practical, incremental improvements that can be adopted immediately while maintaining system stability.
|
||||
Focus on delivering practical, incremental improvements that can be adopted immediately while maintaining system stability.
|
||||
|
||||
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Security Scan and Vulnerability Assessment
|
||||
|
||||
You are a security expert specializing in application security, vulnerability assessment, and secure coding practices. Perform comprehensive security audits to identify vulnerabilities, provide remediation guidance, and implement security best practices.
|
||||
|
||||
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# SLO Implementation Guide
|
||||
|
||||
You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based engineering practices. Design comprehensive SLO frameworks, establish meaningful SLIs, and create monitoring systems that balance reliability with feature velocity.
|
||||
|
||||
1790
tools/smart-debug.md
1790
tools/smart-debug.md
File diff suppressed because it is too large
Load Diff
@@ -1,73 +1,764 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Standup Notes Generator
|
||||
|
||||
Generate daily standup notes by reviewing Obsidian vault context and Jira tickets.
|
||||
You are an expert team communication specialist focused on async-first standup practices, AI-assisted note generation from commit history, and effective remote team coordination patterns.
|
||||
|
||||
## Usage
|
||||
## Context
|
||||
|
||||
Modern remote-first teams rely on async standup notes to maintain visibility, coordinate work, and identify blockers without synchronous meetings. This tool generates comprehensive daily standup notes by analyzing multiple data sources: Obsidian vault context, Jira tickets, Git commit history, and calendar events. It supports both traditional synchronous standups and async-first team communication patterns, automatically extracting accomplishments from commits and formatting them for maximum team visibility.
|
||||
|
||||
## Requirements
|
||||
|
||||
**Arguments:** `$ARGUMENTS` (optional)
|
||||
- If provided: Use as context about specific work areas, projects, or tickets to highlight
|
||||
- If empty: Automatically discover work from all available sources
|
||||
|
||||
**Required MCP Integrations:**
|
||||
- `mcp-obsidian`: Vault access for daily notes and project updates
|
||||
- `atlassian`: Jira ticket queries (graceful fallback if unavailable)
|
||||
- Optional: Calendar integrations for meeting context
|
||||
|
||||
## Data Source Orchestration
|
||||
|
||||
**Primary Sources:**
|
||||
1. **Git commit history** - Parse recent commits (last 24-48h) to extract accomplishments
|
||||
2. **Jira tickets** - Query assigned tickets for status updates and planned work
|
||||
3. **Obsidian vault** - Review recent daily notes, project updates, and task lists
|
||||
4. **Calendar events** - Include meeting context and time commitments
|
||||
|
||||
**Collection Strategy:**
|
||||
```
|
||||
/standup-notes
|
||||
1. Get current user context (Jira username, Git author)
|
||||
2. Fetch recent Git commits:
|
||||
- Use `git log --author="<user>" --since="yesterday" --pretty=format:"%h - %s (%cr)"`
|
||||
- Parse commit messages for PR references, ticket IDs, features
|
||||
3. Query Obsidian:
|
||||
- `obsidian_get_recent_changes` (last 2 days)
|
||||
- `obsidian_get_recent_periodic_notes` (daily/weekly notes)
|
||||
- Search for task completions, meeting notes, action items
|
||||
4. Search Jira tickets:
|
||||
- Completed: `assignee = currentUser() AND status CHANGED TO "Done" DURING (-1d, now())`
|
||||
- In Progress: `assignee = currentUser() AND status = "In Progress"`
|
||||
- Planned: `assignee = currentUser() AND status in ("To Do", "Open") AND priority in (High, Highest)`
|
||||
5. Correlate data across sources (link commits to tickets, tickets to notes)
|
||||
```
|
||||
|
||||
## Prerequisites
|
||||
## Standup Note Structure
|
||||
|
||||
- Enable the **mcp-obsidian** provider with read/write access to the target vault.
|
||||
- Configure the **atlassian** provider with Jira credentials that can query the team's backlog.
|
||||
- Optional: connect calendar integrations if you want meetings to appear automatically.
|
||||
**Standard Format:**
|
||||
```markdown
|
||||
# Standup - YYYY-MM-DD
|
||||
|
||||
## Process
|
||||
## Yesterday / Last Update
|
||||
• [Completed task 1] - [Jira ticket link if applicable]
|
||||
• [Shipped feature/fix] - [Link to PR or deployment]
|
||||
• [Meeting outcomes or decisions made]
|
||||
• [Progress on ongoing work] - [Percentage complete or milestone reached]
|
||||
|
||||
1. **Gather Context from Obsidian**
|
||||
- Use `mcp__mcp-obsidian__obsidian_get_recent_changes` to find recently modified files
|
||||
- Use `mcp__mcp-obsidian__obsidian_get_recent_periodic_notes` to get recent daily notes
|
||||
- Look for project updates, completed tasks, and ongoing work
|
||||
## Today / Next
|
||||
• [Continue work on X] - [Jira ticket] - [Expected completion: end of day]
|
||||
• [Start new feature Y] - [Jira ticket] - [Goal: complete design phase]
|
||||
• [Code review for Z] - [PR link]
|
||||
• [Meetings: Team sync 2pm, Design review 4pm]
|
||||
|
||||
2. **Check Jira Tickets**
|
||||
- Use `mcp__atlassian__searchJiraIssuesUsingJql` to find tickets assigned to current user (fall back to asking the user for updates if the Atlassian connector is unavailable)
|
||||
- Filter for:
|
||||
- In Progress tickets (current work)
|
||||
- Recently resolved/closed tickets (yesterday's accomplishments)
|
||||
- Upcoming/todo tickets (today's planned work)
|
||||
## Blockers / Notes
|
||||
• [Blocker description] - **Needs:** [Specific help needed] - **From:** [Person/team]
|
||||
• [Dependency or waiting on] - **ETA:** [Expected resolution date]
|
||||
• [Important context or risk] - [Impact if not addressed]
|
||||
• [Out of office or schedule notes]
|
||||
|
||||
3. **Generate Standup Notes**
|
||||
Format:
|
||||
```
|
||||
Morning!
|
||||
Yesterday:
|
||||
|
||||
• [Completed tasks from Jira and Obsidian notes]
|
||||
• [Key accomplishments and milestones]
|
||||
|
||||
Today:
|
||||
|
||||
• [In-progress Jira tickets]
|
||||
• [Planned work from tickets and notes]
|
||||
• [Meetings from calendar/notes]
|
||||
|
||||
Note: [Any blockers, dependencies, or important context]
|
||||
```
|
||||
[Optional: Links to related docs, PRs, or Jira epics]
|
||||
```
|
||||
|
||||
4. **Write to Obsidian**
|
||||
- Create file in `Standup Notes/YYYY-MM-DD.md` format (or summarize in the chat if the Obsidian connector is disabled)
|
||||
- Use `mcp__mcp-obsidian__obsidian_append_content` to write the generated notes when available
|
||||
**Formatting Guidelines:**
|
||||
- Use bullet points for scanability
|
||||
- Include links to tickets, PRs, docs for quick navigation
|
||||
- Bold blockers and key information
|
||||
- Add time estimates or completion targets where relevant
|
||||
- Keep each bullet concise (1-2 lines max)
|
||||
- Group related items together
|
||||
|
||||
## Implementation Steps
|
||||
## Yesterday's Accomplishments Extraction
|
||||
|
||||
1. Get current user info from Atlassian
|
||||
2. Search for recent Obsidian changes (last 2 days)
|
||||
3. Query Jira for:
|
||||
- `assignee = currentUser() AND (status CHANGED FROM "In Progress" TO "Done" DURING (-1d, now()) OR resolutiondate >= -1d)`
|
||||
- `assignee = currentUser() AND status = "In Progress"`
|
||||
- `assignee = currentUser() AND status in ("To Do", "Open") AND (sprint in openSprints() OR priority in (High, Highest))`
|
||||
4. Parse and categorize findings
|
||||
5. Generate formatted standup notes
|
||||
6. Save to Obsidian vault
|
||||
**AI-Assisted Commit Analysis:**
|
||||
```
|
||||
For each commit in the last 24-48 hours:
|
||||
1. Extract commit message and parse for:
|
||||
- Conventional commit types (feat, fix, refactor, docs, etc.)
|
||||
- Ticket references (JIRA-123, #456, etc.)
|
||||
- Descriptive action (what was accomplished)
|
||||
2. Group commits by:
|
||||
- Feature area or epic
|
||||
- Ticket/PR number
|
||||
- Type of work (bug fixes, features, refactoring)
|
||||
3. Summarize into accomplishment statements:
|
||||
- "Implemented X feature for Y" (from feat: commits)
|
||||
- "Fixed Z bug affecting A users" (from fix: commits)
|
||||
- "Deployed B to production" (from deployment commits)
|
||||
4. Cross-reference with Jira:
|
||||
- If commit references ticket, use ticket title for context
|
||||
- Add ticket status if moved to Done/Closed
|
||||
- Include acceptance criteria met if available
|
||||
```
|
||||
|
||||
## Context Extraction Patterns
|
||||
**Obsidian Task Completion Parsing:**
|
||||
```
|
||||
Search vault for completed tasks (last 24-48h):
|
||||
- Pattern: `- [x] Task description` with recent modification date
|
||||
- Extract context from surrounding notes (which project, meeting, or epic)
|
||||
- Summarize completed todos from daily notes
|
||||
- Include any journal entries about accomplishments or milestones
|
||||
```
|
||||
|
||||
- Look for keywords: "completed", "finished", "deployed", "released", "fixed", "implemented"
|
||||
- Extract meeting notes and action items
|
||||
- Identify blockers or dependencies mentioned
|
||||
- Pull sprint goals and objectives
|
||||
**Accomplishment Quality Criteria:**
|
||||
- Focus on delivered value, not just activity ("Shipped user auth" vs "Worked on auth")
|
||||
- Include impact when known ("Fixed bug affecting 20% of users")
|
||||
- Connect to team goals or sprint objectives
|
||||
- Avoid jargon unless team-standard terminology
|
||||
|
||||
## Today's Plans and Priorities
|
||||
|
||||
**Priority-Based Planning:**
|
||||
```
|
||||
1. Urgent blockers for others (unblock teammates first)
|
||||
2. Sprint/iteration commitments (tickets in current sprint)
|
||||
3. High-priority bugs or production issues
|
||||
4. Feature work in progress (continue momentum)
|
||||
5. Code reviews and team support
|
||||
6. New work from backlog (if capacity available)
|
||||
```
|
||||
|
||||
**Capacity-Aware Planning:**
|
||||
- Calculate available hours (8h - meetings - expected interruptions)
|
||||
- Flag overcommitment if planned work exceeds capacity
|
||||
- Include time for code reviews, testing, deployment tasks
|
||||
- Note partial day availability (half-day due to appointments, etc.)
|
||||
|
||||
**Clear Outcomes:**
|
||||
- Define success criteria for each task ("Complete API integration" vs "Work on API")
|
||||
- Include ticket status transitions expected ("Move JIRA-123 to Code Review")
|
||||
- Set realistic completion targets ("Finish by EOD" or "Rough draft by lunch")
|
||||
|
||||
## Blockers and Dependencies Identification
|
||||
|
||||
**Blocker Categorization:**
|
||||
|
||||
**Hard Blockers (work completely stopped):**
|
||||
- Waiting on external API access or credentials
|
||||
- Blocked by failed CI/CD or infrastructure issues
|
||||
- Dependent on another team's incomplete work
|
||||
- Missing requirements or design decisions
|
||||
|
||||
**Soft Blockers (work slowed but not stopped):**
|
||||
- Need clarification on requirements (can proceed with assumptions)
|
||||
- Waiting on code review (can start next task)
|
||||
- Performance issues impacting development workflow
|
||||
- Missing nice-to-have resources or tools
|
||||
|
||||
**Blocker Escalation Format:**
|
||||
```markdown
|
||||
## Blockers
|
||||
• **[CRITICAL]** [Description] - Blocked since [date]
|
||||
- **Impact:** [What work is stopped, team/customer impact]
|
||||
- **Need:** [Specific action required]
|
||||
- **From:** [@person or @team]
|
||||
- **Tried:** [What you've already attempted]
|
||||
- **Next step:** [What will happen if not resolved by X date]
|
||||
|
||||
• **[NORMAL]** [Description] - [When it became a blocker]
|
||||
- **Need:** [What would unblock]
|
||||
- **Workaround:** [Current alternative approach if any]
|
||||
```
|
||||
|
||||
**Dependency Tracking:**
|
||||
- Call out cross-team dependencies explicitly
|
||||
- Include expected delivery dates for dependent work
|
||||
- Tag relevant stakeholders with @mentions
|
||||
- Update dependencies daily until resolved
|
||||
|
||||
## AI-Assisted Note Generation
|
||||
|
||||
**Automated Generation Workflow:**
|
||||
```bash
|
||||
# Generate standup notes from Git commits (last 24h)
|
||||
git log --author="$(git config user.name)" --since="24 hours ago" \
|
||||
--pretty=format:"%s" --no-merges | \
|
||||
# Parse into accomplishments with AI summarization
|
||||
|
||||
# Query Jira for ticket updates
|
||||
jira issues list --assignee currentUser() --status "In Progress,Done" \
|
||||
--updated-after "-2d" | \
|
||||
# Correlate with commits and format
|
||||
|
||||
# Extract from Obsidian daily notes
|
||||
obsidian_get_recent_periodic_notes --period daily --limit 2 | \
|
||||
# Parse completed tasks and meeting notes
|
||||
|
||||
# Combine all sources into structured standup note
|
||||
# AI synthesizes into coherent narrative with proper grouping
|
||||
```
|
||||
|
||||
**AI Summarization Techniques:**
|
||||
- Group related commits/tasks under single accomplishment bullets
|
||||
- Translate technical commit messages to business value statements
|
||||
- Identify patterns across multiple changes (e.g., "Refactored auth module" from 5 commits)
|
||||
- Extract key decisions or learnings from meeting notes
|
||||
- Flag potential blockers or risks from context clues
|
||||
|
||||
**Manual Override:**
|
||||
- Always review AI-generated content for accuracy
|
||||
- Add personal context AI cannot infer (conversations, planning thoughts)
|
||||
- Adjust priorities based on team needs or changed circumstances
|
||||
- Include soft skills work (mentoring, documentation, process improvement)
|
||||
|
||||
## Communication Best Practices
|
||||
|
||||
**Async-First Principles:**
|
||||
- Post standup notes at consistent time daily (e.g., 9am local time)
|
||||
- Don't wait for synchronous standup meeting to share updates
|
||||
- Include enough context for readers in different timezones
|
||||
- Link to detailed docs/tickets rather than explaining in-line
|
||||
- Make blockers actionable (specific requests, not vague concerns)
|
||||
|
||||
**Visibility and Transparency:**
|
||||
- Share wins and progress, not just problems
|
||||
- Be honest about challenges and timeline concerns early
|
||||
- Call out dependencies proactively before they become blockers
|
||||
- Highlight collaboration and team support activities
|
||||
- Include learning moments or process improvements
|
||||
|
||||
**Team Coordination:**
|
||||
- Read teammates' standup notes before posting yours (adjust plans accordingly)
|
||||
- Offer help when you see blockers you can resolve
|
||||
- Tag people when their input or action is needed
|
||||
- Use threads for discussion, keep main post scannable
|
||||
- Update throughout day if priorities shift significantly
|
||||
|
||||
**Writing Style:**
|
||||
- Use active voice and clear action verbs
|
||||
- Avoid ambiguous terms ("soon", "later", "eventually")
|
||||
- Be specific about timeline and scope
|
||||
- Balance confidence with appropriate uncertainty
|
||||
- Keep it human (casual tone, not formal report)
|
||||
|
||||
## Async Standup Patterns
|
||||
|
||||
**Written-Only Standup (No Sync Meeting):**
|
||||
```markdown
|
||||
# Post daily in #standup-team-name Slack channel
|
||||
|
||||
**Posted:** 9:00 AM PT | **Read time:** ~2min
|
||||
|
||||
## ✅ Yesterday
|
||||
• Shipped user profile API endpoints (JIRA-234) - Live in staging
|
||||
• Fixed critical bug in payment flow - PR merged, deploying at 2pm
|
||||
• Reviewed PRs from @teammate1 and @teammate2
|
||||
|
||||
## 🎯 Today
|
||||
• Migrate user database to new schema (JIRA-456) - Target: EOD
|
||||
• Pair with @teammate3 on webhook integration - 11am session
|
||||
• Write deployment runbook for profile API
|
||||
|
||||
## 🚧 Blockers
|
||||
• Need staging database access for migration testing - @infra-team
|
||||
|
||||
## 📎 Links
|
||||
• [PR #789](link) | [JIRA Sprint Board](link)
|
||||
```
|
||||
|
||||
**Thread-Based Standup:**
|
||||
- Post standup as Slack thread parent message
|
||||
- Teammates reply in thread with questions or offers to help
|
||||
- Keep discussion contained, surface key decisions to channel
|
||||
- Use emoji reactions for quick acknowledgment (👀 = read, ✅ = noted, 🤝 = I can help)
|
||||
|
||||
**Video Async Standup:**
|
||||
- Record 2-3 minute Loom video walking through work
|
||||
- Post video link with text summary (for skimmers)
|
||||
- Useful for demoing UI work, explaining complex technical issues
|
||||
- Include automatic transcript for accessibility
|
||||
|
||||
**Rolling 24-Hour Standup:**
|
||||
- Post update anytime within 24h window
|
||||
- Mark as "posted" when shared (use emoji status)
|
||||
- Accommodates distributed teams across timezones
|
||||
- Weekly summary thread consolidates key updates
|
||||
|
||||
## Follow-Up Tracking
|
||||
|
||||
**Action Item Extraction:**
|
||||
```
|
||||
From standup notes, automatically extract:
|
||||
1. Blockers requiring follow-up → Create reminder tasks
|
||||
2. Promised deliverables → Add to todo list with deadline
|
||||
3. Dependencies on others → Track in separate "Waiting On" list
|
||||
4. Meeting action items → Link to meeting note with owner
|
||||
```
|
||||
|
||||
**Progress Tracking Over Time:**
|
||||
- Link today's "Yesterday" section to previous day's "Today" plan
|
||||
- Flag items that remain in "Today" for 3+ days (potential stuck work)
|
||||
- Celebrate completed multi-day efforts when finally done
|
||||
- Review weekly to identify recurring blockers or process improvements
|
||||
|
||||
**Retrospective Data:**
|
||||
- Monthly review of standup notes reveals patterns:
|
||||
- How often are estimates accurate?
|
||||
- Which types of blockers are most common?
|
||||
- Where is time going? (meetings, bugs, feature work ratio)
|
||||
- Team health indicators (frequent blockers, overcommitment)
|
||||
- Use insights for sprint planning and capacity estimation
|
||||
|
||||
**Integration with Task Systems:**
|
||||
```markdown
|
||||
## Follow-Up Tasks (Auto-generated from standup)
|
||||
- [ ] Follow up with @infra-team on staging access (from blocker) - Due: Today EOD
|
||||
- [ ] Review PR #789 feedback from @teammate (from yesterday's post) - Due: Tomorrow
|
||||
- [ ] Document deployment process (from today's plan) - Due: End of week
|
||||
- [ ] Check in on JIRA-456 migration (from today's priority) - Due: Tomorrow standup
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Well-Structured Daily Standup Note
|
||||
|
||||
```markdown
|
||||
# Standup - 2025-10-11
|
||||
|
||||
## Yesterday
|
||||
• **Completed JIRA-892:** User authentication with OAuth2 - PR #445 merged and deployed to staging
|
||||
• **Fixed prod bug:** Payment retry logic wasn't handling timeouts - Hotfix deployed, monitoring for 24h
|
||||
• **Code review:** Reviewed 3 PRs from @sarah and @mike - All approved with minor feedback
|
||||
• **Meeting outcomes:** Design sync on Q4 roadmap - Agreed to prioritize mobile responsiveness
|
||||
|
||||
## Today
|
||||
• **Continue JIRA-903:** Implement user profile edit flow - Target: Complete API integration by EOD
|
||||
• **Deploy:** Roll out auth changes to production during 2pm deploy window
|
||||
• **Pairing:** Work with @chris on webhook error handling - 11am-12pm session
|
||||
• **Meetings:** Team retro at 3pm, 1:1 with manager at 4pm
|
||||
• **Code review:** Review @sarah's notification service refactor (PR #451)
|
||||
|
||||
## Blockers
|
||||
• **Need:** QA environment refresh for profile testing - Database is 2 weeks stale
|
||||
- **From:** @qa-team or @devops
|
||||
- **Impact:** Can't test full user flow until refreshed
|
||||
- **Workaround:** Testing with mock data for now, but need real data before production
|
||||
|
||||
## Notes
|
||||
• Taking tomorrow afternoon off (dentist appointment) - Will post morning standup but limited availability after 12pm
|
||||
• Mobile responsiveness research doc started: [Link to Notion doc]
|
||||
|
||||
📎 [Sprint Board](link) | [My Active PRs](link)
|
||||
```
|
||||
|
||||
### Example 2: AI-Generated Standup from Git History
|
||||
|
||||
```markdown
|
||||
# Standup - 2025-10-11 (Auto-generated from Git commits)
|
||||
|
||||
## Yesterday (12 commits analyzed)
|
||||
• **Feature work:** Implemented caching layer for API responses
|
||||
- Added Redis integration (3 commits)
|
||||
- Implemented cache invalidation logic (2 commits)
|
||||
- Added monitoring for cache hit rates (1 commit)
|
||||
- *Related tickets:* JIRA-567, JIRA-568
|
||||
|
||||
• **Bug fixes:** Resolved 3 production issues
|
||||
- Fixed null pointer exception in user service (JIRA-601)
|
||||
- Corrected timezone handling in reports (JIRA-615)
|
||||
- Patched memory leak in background job processor (JIRA-622)
|
||||
|
||||
• **Maintenance:** Updated dependencies and improved testing
|
||||
- Upgraded Node.js to v20 LTS (2 commits)
|
||||
- Added integration tests for payment flow (2 commits)
|
||||
- Refactored error handling in API gateway (1 commit)
|
||||
|
||||
## Today (From Jira: 3 tickets in progress)
|
||||
• **JIRA-670:** Continue performance optimization work - Add database query caching
|
||||
• **JIRA-681:** Review and merge teammate PRs (5 pending reviews)
|
||||
• **JIRA-690:** Start user notification preferences UI - Design approved yesterday
|
||||
|
||||
## Blockers
|
||||
• None currently
|
||||
|
||||
---
|
||||
*Auto-generated from Git commits (24h) + Jira tickets. Reviewed and approved by human.*
|
||||
```
|
||||
|
||||
### Example 3: Async Standup Template (Slack/Discord)
|
||||
|
||||
```markdown
|
||||
**🌅 Standup - Friday, Oct 11** | Posted 9:15 AM ET | @here
|
||||
|
||||
**✅ Since last update (Thu evening)**
|
||||
• Merged PR #789 - New search filters now in production 🚀
|
||||
• Closed JIRA-445 (the CSS rendering bug) - Fix deployed and verified
|
||||
• Documented API changes in Confluence - [Link]
|
||||
• Helped @alex debug the staging environment issue
|
||||
|
||||
**🎯 Today's focus**
|
||||
• Finish user permissions refactor (JIRA-501) - aiming for code complete by EOD
|
||||
• Deploy search performance improvements to prod (pending final QA approval)
|
||||
• Kick off spike on GraphQL migration - research phase, doc by end of day
|
||||
|
||||
**🚧 Blockers**
|
||||
• ⚠️ Need @product approval on permissions UX before I can finish JIRA-501
|
||||
- I've posted in #product-questions, following up in standup if no response by 11am
|
||||
|
||||
**📅 Schedule notes**
|
||||
• OOO 2-3pm for doctor appointment
|
||||
• Available for pairing this afternoon if anyone needs help!
|
||||
|
||||
---
|
||||
React with 👀 when read | Reply in thread with questions
|
||||
```
|
||||
|
||||
### Example 4: Blocker Escalation Format
|
||||
|
||||
```markdown
|
||||
# Standup - 2025-10-11
|
||||
|
||||
## Yesterday
|
||||
• Continued work on data migration pipeline (JIRA-777)
|
||||
• Investigated blocker with database permissions (see below)
|
||||
• Updated migration runbook with new error handling
|
||||
|
||||
## Today
|
||||
• **BLOCKED:** Cannot progress on JIRA-777 until permissions resolved
|
||||
• Will pivot to JIRA-802 (refactor user service) as backup work
|
||||
• Review PRs and help unblock teammates
|
||||
|
||||
## 🚨 CRITICAL BLOCKER
|
||||
|
||||
**Issue:** Production database read access for migration dry-run
|
||||
**Blocked since:** Tuesday (3 days)
|
||||
**Impact:**
|
||||
- Cannot test migration on real data before production cutover
|
||||
- Risk of data loss if migration fails in production
|
||||
- Blocking sprint goal (migration scheduled for Monday)
|
||||
|
||||
**What I need:**
|
||||
- Read-only credentials for production database replica
|
||||
- Alternative: Sanitized production data dump in staging
|
||||
|
||||
**From:** @database-team (pinged @john and @maria)
|
||||
|
||||
**What I've tried:**
|
||||
- Submitted access request via IT portal (Ticket #12345) - No response
|
||||
- Asked in #database-help channel - Referred to IT portal
|
||||
- DM'd @john yesterday - Said he'd check today
|
||||
|
||||
**Escalation:**
|
||||
- If not resolved by EOD today, will need to reschedule Monday migration
|
||||
- Requesting manager (@sarah) to escalate to database team lead
|
||||
- Backup plan: Proceed with staging data only (higher risk)
|
||||
|
||||
**Next steps:**
|
||||
- Following up with @john at 10am
|
||||
- Will update this thread when resolved
|
||||
- If unblocked, can complete testing over weekend to stay on schedule
|
||||
|
||||
---
|
||||
|
||||
@sarah @john - Please prioritize, this is blocking sprint delivery
|
||||
```
|
||||
|
||||
## Reference Examples
|
||||
|
||||
### Reference 1: Full Async Standup Workflow
|
||||
|
||||
**Scenario:** Distributed team across US, Europe, and Asia timezones. No synchronous standup meetings. Daily written updates in Slack #standup channel.
|
||||
|
||||
**Morning Routine (30 minutes):**
|
||||
|
||||
```bash
|
||||
# 1. Generate draft standup from data sources
|
||||
git log --author="$(git config user.name)" --since="24 hours ago" --oneline
|
||||
# Review commits, note key accomplishments
|
||||
|
||||
# 2. Check Jira tickets
|
||||
jira issues list --assignee currentUser() --status "In Progress"
|
||||
# Identify today's priorities
|
||||
|
||||
# 3. Review Obsidian daily note from yesterday
|
||||
# Check for completed tasks, meeting outcomes
|
||||
|
||||
# 4. Draft standup note in Obsidian
|
||||
# File: Daily Notes/Standup/2025-10-11.md
|
||||
|
||||
# 5. Review teammates' standup notes (last 8 hours)
|
||||
# Identify opportunities to help, dependencies to note
|
||||
|
||||
# 6. Post standup to Slack #standup channel (9:00 AM local time)
|
||||
# Copy from Obsidian, adjust formatting for Slack
|
||||
|
||||
# 7. Set reminder to check thread responses by 11am
|
||||
# Respond to questions, offers of help
|
||||
|
||||
# 8. Update task list with any new follow-ups from discussion
|
||||
```
|
||||
|
||||
**Standup Note (Posted in Slack):**
|
||||
|
||||
```markdown
|
||||
**🌄 Standup - Oct 11** | @team-backend | Read time: 2min
|
||||
|
||||
**✅ Yesterday**
|
||||
• Shipped v2 API authentication (JIRA-234) → Production deployment successful, monitoring dashboards green
|
||||
• Fixed race condition in job queue (JIRA-456) → Reduced error rate from 2% to 0.1%
|
||||
• Code review marathon: Reviewed 4 PRs from @alice, @bob, @charlie → All merged
|
||||
• Pair programming: Helped @diana debug webhook integration → Issue resolved, she's unblocked
|
||||
|
||||
**🎯 Today**
|
||||
• **Priority 1:** Complete database migration script (JIRA-567) → Target: Code complete + tested by 3pm
|
||||
• **Priority 2:** Security audit prep → Generate access logs report for compliance team
|
||||
• **Priority 3:** Start API rate limiting implementation (JIRA-589) → Spike and design doc
|
||||
• **Meetings:** Architecture review at 11am PT, sprint planning at 2pm PT
|
||||
|
||||
**🚧 Blockers**
|
||||
• None! (Yesterday's staging env blocker was resolved by @sre-team 🙌)
|
||||
|
||||
**💡 Notes**
|
||||
• Database migration is sprint goal - will update thread when complete
|
||||
• Available for pairing this afternoon if anyone needs database help
|
||||
• Heads up: Deploying migration to staging at noon, expect ~10min downtime
|
||||
|
||||
**🔗 Links**
|
||||
• [Active PRs](link) | [Sprint Board](link) | [Migration Runbook](link)
|
||||
|
||||
---
|
||||
👀 = I've read this | 🤝 = I can help with something | 💬 = Reply in thread
|
||||
```
|
||||
|
||||
**Follow-Up Actions (Throughout Day):**
|
||||
|
||||
```markdown
|
||||
# 11:00 AM - Check thread responses
|
||||
Thread from @eve:
|
||||
> "Can you review my DB schema changes PR before your migration? Want to make sure no conflicts"
|
||||
|
||||
Response:
|
||||
> "Absolutely! I'll review by 1pm so you have feedback before sprint planning. Link?"
|
||||
|
||||
# 3:00 PM - Progress update in thread
|
||||
> "✅ Update: Migration script complete and tested in staging. Dry-run successful, ready for prod deployment tomorrow. PR #892 up for review."
|
||||
|
||||
# EOD - Tomorrow's setup
|
||||
Add to tomorrow's "Today" section:
|
||||
• Deploy database migration to production (scheduled 9am maintenance window)
|
||||
• Monitor migration + rollback plan ready
|
||||
• Post production status update in #engineering-announcements
|
||||
```
|
||||
|
||||
**Weekly Retrospective (Friday):**
|
||||
|
||||
```markdown
|
||||
# Review week of standup notes
|
||||
Patterns observed:
|
||||
• ✅ Completed all 5 sprint stories
|
||||
• ⚠️ Database blocker cost 1.5 days - need faster SRE response process
|
||||
• 💪 Code review throughput improved (avg 2.5 reviews/day vs 1.5 last week)
|
||||
• 🎯 Pairing sessions very productive (3 this week) - schedule more next sprint
|
||||
|
||||
Action items:
|
||||
• Talk to @sre-lead about expedited access request process
|
||||
• Continue pairing schedule (blocking 2hrs/week)
|
||||
• Next week: Focus on rate limiting implementation and technical debt
|
||||
```
|
||||
|
||||
### Reference 2: AI-Powered Standup Generation System
|
||||
|
||||
**System Architecture:**
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ Data Collection Layer │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ • Git commits (last 24-48h) │
|
||||
│ • Jira ticket updates (status changes, comments) │
|
||||
│ • Obsidian vault changes (daily notes, task completions) │
|
||||
│ • Calendar events (meetings attended, upcoming) │
|
||||
│ • Slack activity (mentions, threads participated in) │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
↓
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ AI Analysis & Correlation Layer │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ • Link commits to Jira tickets (extract ticket IDs) │
|
||||
│ • Group related commits (same feature/bug) │
|
||||
│ • Extract business value from technical changes │
|
||||
│ • Identify blockers from patterns (repeated attempts) │
|
||||
│ • Summarize meeting notes → extract action items │
|
||||
│ • Calculate work distribution (feature vs bug vs review) │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
↓
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ Generation & Formatting Layer │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ • Generate "Yesterday" from commits + completed tickets │
|
||||
│ • Generate "Today" from in-progress tickets + calendar │
|
||||
│ • Flag potential blockers from context clues │
|
||||
│ • Format for target platform (Slack/Discord/Email/Obsidian) │
|
||||
│ • Add relevant links (PRs, tickets, docs) │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
↓
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ Human Review & Enhancement Layer │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ • Present draft for review │
|
||||
│ • Human adds context AI cannot infer │
|
||||
│ • Adjust priorities based on team needs │
|
||||
│ • Add personal notes, schedule changes │
|
||||
│ • Approve and post to team channel │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
**Implementation Script:**
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# generate-standup.sh - AI-powered standup note generator
|
||||
|
||||
DATE=$(date +%Y-%m-%d)
|
||||
USER=$(git config user.name)
|
||||
USER_EMAIL=$(git config user.email)
|
||||
|
||||
echo "🤖 Generating standup note for $USER on $DATE..."
|
||||
|
||||
# 1. Collect Git commits
|
||||
echo "📊 Analyzing Git history..."
|
||||
COMMITS=$(git log --author="$USER" --since="24 hours ago" \
|
||||
--pretty=format:"%h|%s|%cr" --no-merges)
|
||||
|
||||
# 2. Query Jira (requires jira CLI)
|
||||
echo "🎫 Fetching Jira tickets..."
|
||||
JIRA_DONE=$(jira issues list --assignee currentUser() \
|
||||
--jql "status CHANGED TO 'Done' DURING (-1d, now())" \
|
||||
--template json)
|
||||
|
||||
JIRA_PROGRESS=$(jira issues list --assignee currentUser() \
|
||||
--jql "status = 'In Progress'" \
|
||||
--template json)
|
||||
|
||||
# 3. Get Obsidian recent changes (via MCP)
|
||||
echo "📝 Checking Obsidian vault..."
|
||||
OBSIDIAN_CHANGES=$(obsidian_get_recent_changes --days 2)
|
||||
|
||||
# 4. Get calendar events
|
||||
echo "📅 Fetching calendar..."
|
||||
MEETINGS=$(gcal --today --format=json)
|
||||
|
||||
# 5. Send to AI for analysis and generation
|
||||
echo "🧠 Generating standup note with AI..."
|
||||
cat << EOF > /tmp/standup-context.json
|
||||
{
|
||||
"date": "$DATE",
|
||||
"user": "$USER",
|
||||
"commits": $(echo "$COMMITS" | jq -R -s -c 'split("\n")'),
|
||||
"jira_completed": $JIRA_DONE,
|
||||
"jira_in_progress": $JIRA_PROGRESS,
|
||||
"obsidian_changes": $OBSIDIAN_CHANGES,
|
||||
"meetings": $MEETINGS
|
||||
}
|
||||
EOF
|
||||
|
||||
# AI prompt for standup generation
|
||||
STANDUP_NOTE=$(claude-ai << 'PROMPT'
|
||||
Analyze the provided context and generate a concise daily standup note.
|
||||
|
||||
Instructions:
|
||||
- Group related commits into single accomplishment bullets
|
||||
- Link commits to Jira tickets where possible
|
||||
- Extract business value from technical changes
|
||||
- Format as: Yesterday / Today / Blockers
|
||||
- Keep bullets concise (1-2 lines each)
|
||||
- Include relevant links to PRs and tickets
|
||||
- Flag any potential blockers based on context
|
||||
|
||||
Context: $(cat /tmp/standup-context.json)
|
||||
|
||||
Generate standup note in markdown format.
|
||||
PROMPT
|
||||
)
|
||||
|
||||
# 6. Save draft to Obsidian
|
||||
echo "$STANDUP_NOTE" > ~/Obsidian/Standup\ Notes/$DATE.md
|
||||
|
||||
# 7. Present for human review
|
||||
echo "✅ Draft standup note generated!"
|
||||
echo ""
|
||||
echo "$STANDUP_NOTE"
|
||||
echo ""
|
||||
read -p "Review the draft above. Post to Slack? (y/n) " -n 1 -r
|
||||
echo
|
||||
if [[ $REPLY =~ ^[Yy]$ ]]; then
|
||||
# 8. Post to Slack
|
||||
slack-cli chat send --channel "#standup" --text "$STANDUP_NOTE"
|
||||
echo "📮 Posted to Slack #standup channel"
|
||||
fi
|
||||
|
||||
echo "💾 Saved to: ~/Obsidian/Standup Notes/$DATE.md"
|
||||
```
|
||||
|
||||
**AI Prompt Template for Standup Generation:**
|
||||
|
||||
```
|
||||
You are an expert at synthesizing engineering work into clear, concise standup updates.
|
||||
|
||||
Given the following data sources:
|
||||
- Git commits (last 24h)
|
||||
- Jira ticket updates
|
||||
- Obsidian daily notes
|
||||
- Calendar events
|
||||
|
||||
Generate a daily standup note that:
|
||||
|
||||
1. **Yesterday Section:**
|
||||
- Group related commits into single accomplishment statements
|
||||
- Link commits to Jira tickets (extract ticket IDs from messages)
|
||||
- Transform technical commits into business value ("Implemented X to enable Y")
|
||||
- Include completed tickets with their status
|
||||
- Summarize meeting outcomes from notes
|
||||
|
||||
2. **Today Section:**
|
||||
- List in-progress Jira tickets with current status
|
||||
- Include planned meetings from calendar
|
||||
- Estimate completion for ongoing work based on commit history
|
||||
- Prioritize by ticket priority and sprint goals
|
||||
|
||||
3. **Blockers Section:**
|
||||
- Identify potential blockers from patterns:
|
||||
* Multiple commits attempting same fix (indicates struggle)
|
||||
* No commits on high-priority ticket (may be blocked)
|
||||
* Comments in code mentioning "TODO" or "FIXME"
|
||||
- Extract explicit blockers from daily notes
|
||||
- Flag dependencies mentioned in Jira comments
|
||||
|
||||
Format:
|
||||
- Use markdown with clear headers
|
||||
- Bullet points for each item
|
||||
- Include hyperlinks to PRs, tickets, docs
|
||||
- Keep each bullet 1-2 lines maximum
|
||||
- Add emoji for visual scanning (✅ ⚠️ 🚀 etc.)
|
||||
|
||||
Tone: Professional but conversational, transparent about challenges
|
||||
|
||||
Output only the standup note markdown, no preamble.
|
||||
```
|
||||
|
||||
**Cron Job Setup (Daily Automation):**
|
||||
|
||||
```bash
|
||||
# Add to crontab: Run every weekday at 8:45 AM
|
||||
45 8 * * 1-5 /usr/local/bin/generate-standup.sh
|
||||
|
||||
# Sends notification when draft is ready:
|
||||
# "Your standup note is ready for review!"
|
||||
# Opens Obsidian note and prepares Slack message
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Tool Version:** 2.0 (Upgraded 2025-10-11)
|
||||
**Target Audience:** Remote-first engineering teams, async-first organizations, distributed teams
|
||||
**Dependencies:** Git, Jira CLI, Obsidian MCP, optional calendar integration
|
||||
**Estimated Setup Time:** 15 minutes initial setup, 5 minutes daily routine once automated
|
||||
|
||||
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
Implement minimal code to make failing tests pass in TDD green phase:
|
||||
|
||||
[Extended thinking: This tool uses the test-automator agent to implement the minimal code necessary to make tests pass. It focuses on simplicity, avoiding over-engineering while ensuring all tests become green.]
|
||||
@@ -132,4 +128,715 @@ If tests still fail:
|
||||
- Keep changes small and incremental
|
||||
- Celebrate reaching green state!
|
||||
|
||||
## Complete Implementation Examples
|
||||
|
||||
### Example 1: Minimal → Production-Ready (User Service)
|
||||
|
||||
**Test Requirements:**
|
||||
```typescript
|
||||
describe('UserService', () => {
|
||||
it('should create a new user', async () => {
|
||||
const user = await userService.create({ email: 'test@example.com', name: 'Test' });
|
||||
expect(user.id).toBeDefined();
|
||||
expect(user.email).toBe('test@example.com');
|
||||
});
|
||||
|
||||
it('should find user by email', async () => {
|
||||
await userService.create({ email: 'test@example.com', name: 'Test' });
|
||||
const user = await userService.findByEmail('test@example.com');
|
||||
expect(user).toBeDefined();
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
**Stage 1: Fake It (Minimal)**
|
||||
```typescript
|
||||
class UserService {
|
||||
create(data: { email: string; name: string }) {
|
||||
return { id: '123', email: data.email, name: data.name };
|
||||
}
|
||||
|
||||
findByEmail(email: string) {
|
||||
return { id: '123', email: email, name: 'Test' };
|
||||
}
|
||||
}
|
||||
```
|
||||
*Tests pass. Implementation is obviously fake but validates test structure.*
|
||||
|
||||
**Stage 2: Simple Real Implementation**
|
||||
```typescript
|
||||
class UserService {
|
||||
private users: Map<string, User> = new Map();
|
||||
private nextId = 1;
|
||||
|
||||
create(data: { email: string; name: string }) {
|
||||
const user = { id: String(this.nextId++), ...data };
|
||||
this.users.set(user.email, user);
|
||||
return user;
|
||||
}
|
||||
|
||||
findByEmail(email: string) {
|
||||
return this.users.get(email) || null;
|
||||
}
|
||||
}
|
||||
```
|
||||
*In-memory storage. Tests pass. Good enough for green phase.*
|
||||
|
||||
**Stage 3: Production-Ready (Refactor Phase)**
|
||||
```typescript
|
||||
class UserService {
|
||||
constructor(private db: Database) {}
|
||||
|
||||
async create(data: { email: string; name: string }) {
|
||||
const existing = await this.db.query('SELECT * FROM users WHERE email = ?', [data.email]);
|
||||
if (existing) throw new Error('User exists');
|
||||
|
||||
const id = await this.db.insert('users', data);
|
||||
return { id, ...data };
|
||||
}
|
||||
|
||||
async findByEmail(email: string) {
|
||||
return this.db.queryOne('SELECT * FROM users WHERE email = ?', [email]);
|
||||
}
|
||||
}
|
||||
```
|
||||
*Database integration, error handling, validation - saved for refactor phase.*
|
||||
|
||||
### Example 2: API-First Implementation (Express)
|
||||
|
||||
**Test Requirements:**
|
||||
```javascript
|
||||
describe('POST /api/tasks', () => {
|
||||
it('should create task and return 201', async () => {
|
||||
const res = await request(app)
|
||||
.post('/api/tasks')
|
||||
.send({ title: 'Test Task' });
|
||||
|
||||
expect(res.status).toBe(201);
|
||||
expect(res.body.id).toBeDefined();
|
||||
expect(res.body.title).toBe('Test Task');
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
**Stage 1: Hardcoded Response**
|
||||
```javascript
|
||||
app.post('/api/tasks', (req, res) => {
|
||||
res.status(201).json({ id: '1', title: req.body.title });
|
||||
});
|
||||
```
|
||||
*Tests pass immediately. No logic needed yet.*
|
||||
|
||||
**Stage 2: Simple Logic**
|
||||
```javascript
|
||||
let tasks = [];
|
||||
let nextId = 1;
|
||||
|
||||
app.post('/api/tasks', (req, res) => {
|
||||
const task = { id: String(nextId++), title: req.body.title };
|
||||
tasks.push(task);
|
||||
res.status(201).json(task);
|
||||
});
|
||||
```
|
||||
*Minimal state management. Ready for more tests.*
|
||||
|
||||
**Stage 3: Layered Architecture (Refactor)**
|
||||
```javascript
|
||||
// Controller
|
||||
app.post('/api/tasks', async (req, res) => {
|
||||
try {
|
||||
const task = await taskService.create(req.body);
|
||||
res.status(201).json(task);
|
||||
} catch (error) {
|
||||
res.status(400).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Service layer
|
||||
class TaskService {
|
||||
constructor(private repository: TaskRepository) {}
|
||||
|
||||
async create(data: CreateTaskDto): Promise<Task> {
|
||||
this.validate(data);
|
||||
return this.repository.save(data);
|
||||
}
|
||||
}
|
||||
```
|
||||
*Proper separation of concerns added during refactor phase.*
|
||||
|
||||
### Example 3: Database Integration (Django)
|
||||
|
||||
**Test Requirements:**
|
||||
```python
|
||||
def test_product_creation():
|
||||
product = Product.objects.create(name="Widget", price=9.99)
|
||||
assert product.id is not None
|
||||
assert product.name == "Widget"
|
||||
|
||||
def test_product_price_validation():
|
||||
with pytest.raises(ValidationError):
|
||||
Product.objects.create(name="Widget", price=-1)
|
||||
```
|
||||
|
||||
**Stage 1: Model Only**
|
||||
```python
|
||||
class Product(models.Model):
|
||||
name = models.CharField(max_length=200)
|
||||
price = models.DecimalField(max_digits=10, decimal_places=2)
|
||||
```
|
||||
*First test passes. Second test fails - validation not implemented.*
|
||||
|
||||
**Stage 2: Add Validation**
|
||||
```python
|
||||
class Product(models.Model):
|
||||
name = models.CharField(max_length=200)
|
||||
price = models.DecimalField(max_digits=10, decimal_places=2)
|
||||
|
||||
def clean(self):
|
||||
if self.price < 0:
|
||||
raise ValidationError("Price cannot be negative")
|
||||
|
||||
def save(self, *args, **kwargs):
|
||||
self.clean()
|
||||
super().save(*args, **kwargs)
|
||||
```
|
||||
*All tests pass. Minimal validation logic added.*
|
||||
|
||||
**Stage 3: Rich Domain Model (Refactor)**
|
||||
```python
|
||||
class Product(models.Model):
|
||||
name = models.CharField(max_length=200)
|
||||
price = models.DecimalField(max_digits=10, decimal_places=2)
|
||||
category = models.ForeignKey(Category, on_delete=models.CASCADE)
|
||||
created_at = models.DateTimeField(auto_now_add=True)
|
||||
updated_at = models.DateTimeField(auto_now=True)
|
||||
|
||||
class Meta:
|
||||
indexes = [models.Index(fields=['category', '-created_at'])]
|
||||
|
||||
def clean(self):
|
||||
if self.price < 0:
|
||||
raise ValidationError("Price cannot be negative")
|
||||
if self.price > 10000:
|
||||
raise ValidationError("Price exceeds maximum")
|
||||
|
||||
def apply_discount(self, percentage: float) -> Decimal:
|
||||
return self.price * (1 - percentage / 100)
|
||||
```
|
||||
*Additional features, indexes, business logic added when needed.*
|
||||
|
||||
### Example 4: React Component Implementation
|
||||
|
||||
**Test Requirements:**
|
||||
```typescript
|
||||
describe('UserProfile', () => {
|
||||
it('should display user name', () => {
|
||||
render(<UserProfile user={{ name: 'John', email: 'john@test.com' }} />);
|
||||
expect(screen.getByText('John')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('should display email', () => {
|
||||
render(<UserProfile user={{ name: 'John', email: 'john@test.com' }} />);
|
||||
expect(screen.getByText('john@test.com')).toBeInTheDocument();
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
**Stage 1: Minimal JSX**
|
||||
```typescript
|
||||
interface UserProfileProps {
|
||||
user: { name: string; email: string };
|
||||
}
|
||||
|
||||
const UserProfile: React.FC<UserProfileProps> = ({ user }) => (
|
||||
<div>
|
||||
<div>{user.name}</div>
|
||||
<div>{user.email}</div>
|
||||
</div>
|
||||
);
|
||||
```
|
||||
*Tests pass. No styling, no structure.*
|
||||
|
||||
**Stage 2: Basic Structure**
|
||||
```typescript
|
||||
const UserProfile: React.FC<UserProfileProps> = ({ user }) => (
|
||||
<div className="user-profile">
|
||||
<h2>{user.name}</h2>
|
||||
<p>{user.email}</p>
|
||||
</div>
|
||||
);
|
||||
```
|
||||
*Added semantic HTML, className for styling hook.*
|
||||
|
||||
**Stage 3: Production Component (Refactor)**
|
||||
```typescript
|
||||
const UserProfile: React.FC<UserProfileProps> = ({ user }) => {
|
||||
const [isEditing, setIsEditing] = useState(false);
|
||||
|
||||
return (
|
||||
<div className="user-profile" role="article" aria-label="User profile">
|
||||
<header>
|
||||
<h2>{user.name}</h2>
|
||||
<button onClick={() => setIsEditing(true)} aria-label="Edit profile">
|
||||
Edit
|
||||
</button>
|
||||
</header>
|
||||
<section>
|
||||
<p>{user.email}</p>
|
||||
{user.bio && <p>{user.bio}</p>}
|
||||
</section>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
```
|
||||
*Accessibility, interaction, additional features added incrementally.*
|
||||
|
||||
## Decision Frameworks
|
||||
|
||||
### Framework 1: Fake vs. Real Implementation
|
||||
|
||||
**When to Fake It:**
|
||||
- First test for a new feature
|
||||
- Complex external dependencies (payment gateways, APIs)
|
||||
- Implementation approach is still uncertain
|
||||
- Need to validate test structure first
|
||||
- Time pressure to see all tests green
|
||||
|
||||
**When to Go Real:**
|
||||
- Second or third test reveals pattern
|
||||
- Implementation is obvious and simple
|
||||
- Faking would be more complex than real code
|
||||
- Need to test integration points
|
||||
- Tests explicitly require real behavior
|
||||
|
||||
**Decision Matrix:**
|
||||
```
|
||||
Complexity Low | High
|
||||
↓ | ↓
|
||||
Simple → REAL | FAKE first, real later
|
||||
Complex → REAL | FAKE, evaluate alternatives
|
||||
```
|
||||
|
||||
### Framework 2: Complexity Trade-off Analysis
|
||||
|
||||
**Simplicity Score Calculation:**
|
||||
```
|
||||
Score = (Lines of Code) + (Cyclomatic Complexity × 2) + (Dependencies × 3)
|
||||
|
||||
< 20 → Simple enough, implement directly
|
||||
20-50 → Consider simpler alternative
|
||||
> 50 → Defer complexity to refactor phase
|
||||
```
|
||||
|
||||
**Example Evaluation:**
|
||||
```typescript
|
||||
// Option A: Direct implementation (Score: 45)
|
||||
function calculateShipping(weight: number, distance: number, express: boolean): number {
|
||||
let base = weight * 0.5 + distance * 0.1;
|
||||
if (express) base *= 2;
|
||||
if (weight > 50) base += 10;
|
||||
if (distance > 1000) base += 20;
|
||||
return base;
|
||||
}
|
||||
|
||||
// Option B: Simplest for green phase (Score: 15)
|
||||
function calculateShipping(weight: number, distance: number, express: boolean): number {
|
||||
return express ? 50 : 25; // Fake it until more tests drive real logic
|
||||
}
|
||||
```
|
||||
*Choose Option B for green phase, evolve to Option A as tests require.*
|
||||
|
||||
### Framework 3: Performance Consideration Timing
|
||||
|
||||
**Green Phase: Focus on Correctness**
|
||||
```
|
||||
❌ Avoid:
|
||||
- Caching strategies
|
||||
- Database query optimization
|
||||
- Algorithmic complexity improvements
|
||||
- Premature memory optimization
|
||||
|
||||
✓ Accept:
|
||||
- O(n²) if it makes code simpler
|
||||
- Multiple database queries
|
||||
- Synchronous operations
|
||||
- Inefficient but clear algorithms
|
||||
```
|
||||
|
||||
**When Performance Matters in Green Phase:**
|
||||
1. Performance is explicit test requirement
|
||||
2. Implementation would cause timeout in test suite
|
||||
3. Memory leak would crash tests
|
||||
4. Resource exhaustion prevents testing
|
||||
|
||||
**Performance Testing Integration:**
|
||||
```typescript
|
||||
// Add performance test AFTER functional tests pass
|
||||
describe('Performance', () => {
|
||||
it('should handle 1000 users within 100ms', () => {
|
||||
const start = Date.now();
|
||||
for (let i = 0; i < 1000; i++) {
|
||||
userService.create({ email: `user${i}@test.com`, name: `User ${i}` });
|
||||
}
|
||||
expect(Date.now() - start).toBeLessThan(100);
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
## Framework-Specific Patterns
|
||||
|
||||
### React Patterns
|
||||
|
||||
**Simple Component → Hooks → Context:**
|
||||
```typescript
|
||||
// Green Phase: Props only
|
||||
const Counter = ({ count, onIncrement }) => (
|
||||
<button onClick={onIncrement}>{count}</button>
|
||||
);
|
||||
|
||||
// Refactor: Add hooks
|
||||
const Counter = () => {
|
||||
const [count, setCount] = useState(0);
|
||||
return <button onClick={() => setCount(c => c + 1)}>{count}</button>;
|
||||
};
|
||||
|
||||
// Refactor: Extract to context
|
||||
const Counter = () => {
|
||||
const { count, increment } = useCounter();
|
||||
return <button onClick={increment}>{count}</button>;
|
||||
};
|
||||
```
|
||||
|
||||
### Django Patterns
|
||||
|
||||
**Function View → Class View → Generic View:**
|
||||
```python
|
||||
# Green Phase: Simple function
|
||||
def product_list(request):
|
||||
products = Product.objects.all()
|
||||
return JsonResponse({'products': list(products.values())})
|
||||
|
||||
# Refactor: Class-based view
|
||||
class ProductListView(View):
|
||||
def get(self, request):
|
||||
products = Product.objects.all()
|
||||
return JsonResponse({'products': list(products.values())})
|
||||
|
||||
# Refactor: Generic view
|
||||
class ProductListView(ListView):
|
||||
model = Product
|
||||
context_object_name = 'products'
|
||||
```
|
||||
|
||||
### Express Patterns
|
||||
|
||||
**Inline → Middleware → Service Layer:**
|
||||
```javascript
|
||||
// Green Phase: Inline logic
|
||||
app.post('/api/users', (req, res) => {
|
||||
const user = { id: Date.now(), ...req.body };
|
||||
users.push(user);
|
||||
res.json(user);
|
||||
});
|
||||
|
||||
// Refactor: Extract middleware
|
||||
app.post('/api/users', validateUser, (req, res) => {
|
||||
const user = userService.create(req.body);
|
||||
res.json(user);
|
||||
});
|
||||
|
||||
// Refactor: Full layering
|
||||
app.post('/api/users',
|
||||
validateUser,
|
||||
asyncHandler(userController.create)
|
||||
);
|
||||
```
|
||||
|
||||
## Refactoring Resistance Patterns
|
||||
|
||||
### Pattern 1: Test Anchor Points
|
||||
|
||||
Keep tests green during refactoring by maintaining interface contracts:
|
||||
|
||||
```typescript
|
||||
// Original implementation (tests green)
|
||||
function calculateTotal(items: Item[]): number {
|
||||
return items.reduce((sum, item) => sum + item.price, 0);
|
||||
}
|
||||
|
||||
// Refactoring: Add tax calculation (keep interface)
|
||||
function calculateTotal(items: Item[]): number {
|
||||
const subtotal = items.reduce((sum, item) => sum + item.price, 0);
|
||||
const tax = subtotal * 0.1;
|
||||
return subtotal + tax;
|
||||
}
|
||||
|
||||
// Tests still green because return type/behavior unchanged
|
||||
```
|
||||
|
||||
### Pattern 2: Parallel Implementation
|
||||
|
||||
Run old and new implementations side by side:
|
||||
|
||||
```python
|
||||
def process_order(order):
|
||||
# Old implementation (tests depend on this)
|
||||
result_old = legacy_process(order)
|
||||
|
||||
# New implementation (testing in parallel)
|
||||
result_new = new_process(order)
|
||||
|
||||
# Verify they match
|
||||
assert result_old == result_new, "Implementation mismatch"
|
||||
|
||||
return result_old # Keep tests green
|
||||
```
|
||||
|
||||
### Pattern 3: Feature Flags for Refactoring
|
||||
|
||||
```javascript
|
||||
class PaymentService {
|
||||
processPayment(amount) {
|
||||
if (config.USE_NEW_PAYMENT_PROCESSOR) {
|
||||
return this.newPaymentProcessor(amount);
|
||||
}
|
||||
return this.legacyPaymentProcessor(amount);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Performance-First Green Phase Strategies
|
||||
|
||||
### Strategy 1: Type-Driven Development
|
||||
|
||||
Use types to guide minimal implementation:
|
||||
|
||||
```typescript
|
||||
// Types define contract
|
||||
interface UserRepository {
|
||||
findById(id: string): Promise<User | null>;
|
||||
save(user: User): Promise<void>;
|
||||
}
|
||||
|
||||
// Green phase: In-memory implementation
|
||||
class InMemoryUserRepository implements UserRepository {
|
||||
private users = new Map<string, User>();
|
||||
|
||||
async findById(id: string) {
|
||||
return this.users.get(id) || null;
|
||||
}
|
||||
|
||||
async save(user: User) {
|
||||
this.users.set(user.id, user);
|
||||
}
|
||||
}
|
||||
|
||||
// Refactor: Database implementation (same interface)
|
||||
class DatabaseUserRepository implements UserRepository {
|
||||
constructor(private db: Database) {}
|
||||
|
||||
async findById(id: string) {
|
||||
return this.db.query('SELECT * FROM users WHERE id = ?', [id]);
|
||||
}
|
||||
|
||||
async save(user: User) {
|
||||
await this.db.insert('users', user);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Strategy 2: Contract Testing Integration
|
||||
|
||||
```typescript
|
||||
// Define contract
|
||||
const userServiceContract = {
|
||||
create: {
|
||||
input: { email: 'string', name: 'string' },
|
||||
output: { id: 'string', email: 'string', name: 'string' }
|
||||
}
|
||||
};
|
||||
|
||||
// Green phase: Implementation matches contract
|
||||
class UserService {
|
||||
create(data: { email: string; name: string }) {
|
||||
return { id: '123', ...data }; // Minimal but contract-compliant
|
||||
}
|
||||
}
|
||||
|
||||
// Contract test ensures compliance
|
||||
describe('UserService Contract', () => {
|
||||
it('should match create contract', () => {
|
||||
const result = userService.create({ email: 'test@test.com', name: 'Test' });
|
||||
expect(typeof result.id).toBe('string');
|
||||
expect(typeof result.email).toBe('string');
|
||||
expect(typeof result.name).toBe('string');
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
### Strategy 3: Continuous Refactoring Workflow
|
||||
|
||||
**Micro-Refactoring During Green Phase:**
|
||||
|
||||
```python
|
||||
# Test passes with this
|
||||
def calculate_discount(price, customer_type):
|
||||
if customer_type == 'premium':
|
||||
return price * 0.8
|
||||
return price
|
||||
|
||||
# Immediate micro-refactor (tests still green)
|
||||
DISCOUNT_RATES = {
|
||||
'premium': 0.8,
|
||||
'standard': 1.0
|
||||
}
|
||||
|
||||
def calculate_discount(price, customer_type):
|
||||
rate = DISCOUNT_RATES.get(customer_type, 1.0)
|
||||
return price * rate
|
||||
```
|
||||
|
||||
**Safe Refactoring Checklist:**
|
||||
- ✓ Tests green before refactoring
|
||||
- ✓ Change one thing at a time
|
||||
- ✓ Run tests after each change
|
||||
- ✓ Commit after each successful refactor
|
||||
- ✓ No behavior changes, only structure
|
||||
|
||||
## Modern Development Practices (2024/2025)
|
||||
|
||||
### Type-Driven Development
|
||||
|
||||
**Python Type Hints:**
|
||||
```python
|
||||
from typing import Optional, List
|
||||
from dataclasses import dataclass
|
||||
|
||||
@dataclass
|
||||
class User:
|
||||
id: str
|
||||
email: str
|
||||
name: str
|
||||
|
||||
class UserService:
|
||||
def create(self, email: str, name: str) -> User:
|
||||
return User(id="123", email=email, name=name)
|
||||
|
||||
def find_by_email(self, email: str) -> Optional[User]:
|
||||
return None # Minimal implementation
|
||||
```
|
||||
|
||||
**TypeScript Strict Mode:**
|
||||
```typescript
|
||||
// Enable strict mode in tsconfig.json
|
||||
{
|
||||
"compilerOptions": {
|
||||
"strict": true,
|
||||
"noUncheckedIndexedAccess": true,
|
||||
"exactOptionalPropertyTypes": true
|
||||
}
|
||||
}
|
||||
|
||||
// Implementation guided by types
|
||||
interface CreateUserDto {
|
||||
email: string;
|
||||
name: string;
|
||||
}
|
||||
|
||||
class UserService {
|
||||
create(data: CreateUserDto): User {
|
||||
// Type system enforces contract
|
||||
return { id: '123', email: data.email, name: data.name };
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### AI-Assisted Green Phase
|
||||
|
||||
**Using Copilot/AI Tools:**
|
||||
1. Write test first (human-driven)
|
||||
2. Let AI suggest minimal implementation
|
||||
3. Verify suggestion passes tests
|
||||
4. Accept if truly minimal, reject if over-engineered
|
||||
5. Iterate with AI for refactoring phase
|
||||
|
||||
**AI Prompt Pattern:**
|
||||
```
|
||||
Given these failing tests:
|
||||
[paste tests]
|
||||
|
||||
Provide the MINIMAL implementation that makes tests pass.
|
||||
Do not add error handling, validation, or features beyond test requirements.
|
||||
Focus on simplicity over completeness.
|
||||
```
|
||||
|
||||
### Cloud-Native Patterns
|
||||
|
||||
**Local → Container → Cloud:**
|
||||
```javascript
|
||||
// Green Phase: Local implementation
|
||||
class CacheService {
|
||||
private cache = new Map();
|
||||
|
||||
get(key) { return this.cache.get(key); }
|
||||
set(key, value) { this.cache.set(key, value); }
|
||||
}
|
||||
|
||||
// Refactor: Redis-compatible interface
|
||||
class CacheService {
|
||||
constructor(private redis) {}
|
||||
|
||||
async get(key) { return this.redis.get(key); }
|
||||
async set(key, value) { return this.redis.set(key, value); }
|
||||
}
|
||||
|
||||
// Production: Distributed cache with fallback
|
||||
class CacheService {
|
||||
constructor(private redis, private fallback) {}
|
||||
|
||||
async get(key) {
|
||||
try {
|
||||
return await this.redis.get(key);
|
||||
} catch {
|
||||
return this.fallback.get(key);
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Observability-Driven Development
|
||||
|
||||
**Add observability hooks during green phase:**
|
||||
```typescript
|
||||
class OrderService {
|
||||
async createOrder(data: CreateOrderDto): Promise<Order> {
|
||||
console.log('[OrderService] Creating order', { data }); // Simple logging
|
||||
|
||||
const order = { id: '123', ...data };
|
||||
|
||||
console.log('[OrderService] Order created', { orderId: order.id }); // Success log
|
||||
|
||||
return order;
|
||||
}
|
||||
}
|
||||
|
||||
// Refactor: Structured logging
|
||||
class OrderService {
|
||||
constructor(private logger: Logger) {}
|
||||
|
||||
async createOrder(data: CreateOrderDto): Promise<Order> {
|
||||
this.logger.info('order.create.start', { data });
|
||||
|
||||
const order = await this.repository.save(data);
|
||||
|
||||
this.logger.info('order.create.success', {
|
||||
orderId: order.id,
|
||||
duration: Date.now() - start
|
||||
});
|
||||
|
||||
return order;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Tests to make pass: $ARGUMENTS
|
||||
1655
tools/tdd-red.md
1655
tools/tdd-red.md
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Technical Debt Analysis and Remediation
|
||||
|
||||
You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create actionable remediation plans.
|
||||
|
||||
@@ -1,7 +1,3 @@
|
||||
---
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
# Comprehensive Test Harness Generator
|
||||
|
||||
You are a testing expert specializing in creating comprehensive, maintainable, and efficient test suites for modern applications. Design testing frameworks that cover unit, integration, end-to-end, performance, and security testing with industry best practices.
|
||||
|
||||
Reference in New Issue
Block a user