# BMAD Workspace Integration - GitHub Copilot ## Overview BMAD workspace utilities integrate seamlessly with GitHub Copilot in VS Code, providing enhanced AI-assisted development with intelligent context sharing and collaborative workspace management. ## Setup ### 1. Prerequisites - VS Code with GitHub Copilot extension installed - GitHub Copilot subscription active - BMAD project initialized ### 2. Initialize Workspace ```bash npm run workspace-init ``` This creates: - Copilot-aware session tracking - AI context files optimized for Copilot suggestions - Integration with VS Code's workspace settings ### 3. Verify Integration ```bash npm run workspace-status ``` Should show: - ✅ Active session detected (github-copilot) - 🤖 AI assistance integration enabled - 📁 Copilot context files prepared ## GitHub Copilot Integration Features ### 🤖 AI-Enhanced Development - **Context-Aware Suggestions**: Workspace context informs Copilot suggestions - **Multi-File Understanding**: Copilot can reference workspace context across files - **Collaborative AI**: Workspace tracks AI-assisted code for team visibility - **Quality Integration**: AI suggestions tracked through workspace quality metrics ### 🧠 Intelligent Context Management #### Copilot-Optimized Commands ```bash npm run workspace-init # Creates Copilot-aware session npm run workspace-status # Shows AI assistance metrics npm run workspace-sync # Updates context for better Copilot suggestions npm run workspace-health # Includes AI code quality checks ``` #### AI Context Files ```bash # Context files optimized for Copilot .workspace/context/copilot-context.md # Current development context .workspace/context/code-patterns.md # Established code patterns .workspace/context/ai-decisions.md # AI-assisted decisions .workspace/quality/ai-metrics.json # AI code quality tracking ``` ## VS Code + Copilot Integration Patterns ### 1. Enhanced Code Completion The workspace provides context that improves Copilot suggestions: ```javascript // File: .workspace/context/copilot-context.md # Current Development Context ## Project Patterns - Using TypeScript with strict mode - React functional components with hooks - Jest for testing with custom matchers - Error handling with custom error classes ## Current Feature: User Authentication - Implementing OAuth 2.0 flow - Using JWT tokens for session management - Validating with Zod schemas - Following existing AuthService patterns ``` When Copilot sees this context, it generates more relevant suggestions that match your project patterns. ### 2. AI-Assisted Agent Handoffs ```bash # Handoff work with AI context npm run workspace-handoff create --to dev --work "Copilot helped implement auth flow" --notes "AI suggested OAuth patterns, validated with team standards" # Track AI-assisted development npm run workspace-sync # Updates AI metrics and context ``` ### 3. Quality Tracking for AI Code ```bash # Monitor AI-generated code quality npm run workspace-health # Includes AI code metrics # Sample health report for AI code: # - Copilot suggestion acceptance rate: 85% # - AI-generated code coverage: 92% # - Pattern consistency with existing code: 94% ``` ## Best Practices for Copilot Users ### 🚀 Starting AI-Assisted Development #### 1. Initialize Context ```bash # Start workspace npm run workspace-init # Update context for Copilot npm run workspace-sync ``` #### 2. Prepare Context Files Create `.workspace/context/copilot-context.md`: ```markdown # Development Context for Copilot ## Current Sprint Goals - Implement user authentication system - Add data validation layer - Create responsive dashboard UI ## Code Standards - TypeScript strict mode - Functional React components - Comprehensive error handling - 90%+ test coverage requirement ## Architecture Patterns - Clean Architecture with dependency injection - Repository pattern for data access - Command/Query separation - Event-driven updates ``` ### 🔧 During Development #### Optimizing Copilot Suggestions 1. **Keep context updated**: Add relevant information to workspace context files 2. **Reference patterns**: Maintain `.workspace/context/code-patterns.md` with examples 3. **Track decisions**: Document AI-suggested approaches in `.workspace/decisions/` #### Context-Driven Development ```bash # Before major feature work npm run workspace-sync # Ensures Copilot has latest context # After Copilot generates significant code npm run workspace-handoff create --notes "Copilot implemented OAuth flow" # Regular quality checks npm run workspace-health # Monitor AI code quality ``` ### 📊 AI Code Quality Management #### Tracking AI Contributions The workspace system tracks: - **AI Suggestion Acceptance Rate**: How often you accept Copilot suggestions - **Code Quality Metrics**: Quality of AI-generated vs human-written code - **Pattern Consistency**: How well AI code matches project patterns - **Test Coverage**: Coverage of AI-generated code vs requirements ```bash # View AI metrics npm run workspace-health --ai-focus # Sample output: # 🤖 AI Code Metrics: # • Suggestion acceptance: 78% # • Quality score: 92/100 # • Pattern consistency: 89% # • Test coverage: 85% ``` ## VS Code Workspace Configuration ### 1. Workspace Settings Add to `.vscode/settings.json`: ```json { "github.copilot.enable": { "*": true, "yaml": false, "plaintext": false }, "github.copilot.advanced": { "secret_key": "github-copilot-bmad-workspace", "length": 500, "temperature": 0.1 }, "bmad.workspace.integration": true, "bmad.workspace.contextFiles": [ ".workspace/context/copilot-context.md", ".workspace/context/code-patterns.md" ] } ``` ### 2. Tasks Integration Add to `.vscode/tasks.json`: ```json { "version": "2.0.0", "tasks": [ { "label": "BMAD: Workspace Init", "type": "shell", "command": "npm run workspace-init", "group": "build", "presentation": { "echo": true, "reveal": "always", "focus": false, "panel": "shared" } }, { "label": "BMAD: Sync Context for Copilot", "type": "shell", "command": "npm run workspace-sync", "group": "build" }, { "label": "BMAD: AI Health Check", "type": "shell", "command": "npm run workspace-health --ai-focus", "group": "test", "presentation": { "reveal": "always" } } ] } ``` ### 3. Keybindings Add to `.vscode/keybindings.json`: ```json [ { "key": "ctrl+shift+w ctrl+shift+i", "command": "workbench.action.tasks.runTask", "args": "BMAD: Workspace Init" }, { "key": "ctrl+shift+w ctrl+shift+s", "command": "workbench.action.tasks.runTask", "args": "BMAD: Sync Context for Copilot" }, { "key": "ctrl+shift+w ctrl+shift+h", "command": "workbench.action.tasks.runTask", "args": "BMAD: AI Health Check" } ] ``` ## Advanced Copilot Integration ### 1. Context-Aware Prompts Use workspace context to improve Copilot prompts: ```javascript // Example: Using workspace context in comments for better suggestions // Based on .workspace/context/auth-patterns.md, implement OAuth login // Following the AuthService pattern established in the workspace // Include error handling as defined in .workspace/context/error-patterns.md function loginWithOAuth(provider) { // Copilot will generate code matching your established patterns } ``` ### 2. AI Decision Tracking ```bash # Track AI-suggested architectural decisions npm run workspace-handoff create --to architect --work "Review Copilot-suggested auth architecture" --notes "AI suggested JWT with refresh tokens, need validation" ``` ### 3. Quality Gates for AI Code ```bash # Set up quality gates that include AI metrics npm run workspace-health --exit-code # Fails CI if AI code quality below threshold ``` ## Troubleshooting ### Common Issues **"Copilot not using workspace context"** - Ensure context files are in `.workspace/context/` - Update context with `npm run workspace-sync` - Restart VS Code to refresh Copilot context **"Poor quality AI suggestions"** - Check workspace context is current: `npm run workspace-status` - Update code patterns: Edit `.workspace/context/code-patterns.md` - Verify session tracking: Should show `github-copilot` IDE type **"AI metrics not tracking"** - Initialize workspace: `npm run workspace-init` - Check health status: `npm run workspace-health` - Verify VS Code workspace settings include BMAD integration ### Copilot-Specific Issues **"Suggestions don't match project patterns"** - Update `.workspace/context/copilot-context.md` with current patterns - Add examples to `.workspace/context/code-patterns.md` - Sync context: `npm run workspace-sync` **"AI quality scores are low"** - Review Copilot suggestion acceptance rate - Update context files with better examples - Consider adjusting Copilot temperature in VS Code settings ## Performance Optimization ### Context File Management ```bash # Keep context files optimized for Copilot npm run workspace-cleanup --ai-optimize # Compress large context files npm run workspace-sync --compress ``` ### Selective AI Context Only include relevant context for current work: ```markdown # Current Focus: Authentication Module ## Relevant Patterns (for this sprint only) - OAuth 2.0 implementation patterns - JWT token validation - Error handling for auth failures ## Not Currently Relevant ``` ## Integration Examples ### Example 1: Feature Development with AI Assistance ```bash # 1. Initialize workspace npm run workspace-init # 2. Prepare context for new feature echo "Implementing user profile management with Copilot assistance" > .workspace/context/current-work.md # 3. Sync context for Copilot npm run workspace-sync # 4. Develop with Copilot # (VS Code: Copilot uses workspace context for better suggestions) # 5. Track AI contribution npm run workspace-handoff create --work "Profile management with AI assistance" --notes "Copilot suggested efficient CRUD patterns" # 6. Quality check npm run workspace-health --ai-focus ``` ### Example 2: AI-Assisted Code Review ```bash # 1. After development phase npm run workspace-sync # Update context with recent changes # 2. Create review handoff npm run workspace-handoff create --to qa --work "Review AI-assisted profile implementation" # 3. QA checks AI code quality npm run workspace-health # Shows AI code metrics # 4. Address any quality issues # (Use workspace context to improve code consistency) ``` --- *This guide optimizes GitHub Copilot integration with BMAD workspace for enhanced AI-assisted development. The workspace system provides context that improves AI suggestions while maintaining team collaboration and code quality.*