Brummer MCP Server

# Subtasks Execution Guide: Agentic AI Coders **Generated**: 2025-01-28 **Context Package**: [`/requests/agentic-ai-coders/context/`](./context/) **Task Files**: [`/requests/agentic-ai-coders/tasks/`](./tasks/) ## Execution Overview This guide provides the execution strategy for implementing the "agentic AI coders in a tab in the TUI" feature through 8 atomic subtasks. The implementation follows a tmux-style interactive design where AI coders run as persistent sessions that users can attach to and detach from, with real-time error reporting from Brummer to the AI. **Design Vision**: "This design makes AI coders feel like pair programming sessions where Brummer acts as the development environment providing real-time feedback to both the human and AI." ### Implementation Strategy **Execution Method**: Parallel worktree development with staged integration **Total Estimated Time**: 150 minutes (2.5 hours) **Team Size**: 4-6 developers working in parallel **Integration Points**: 3 major integration phases ## Task Execution Order ### Phase 1: Foundation (Parallel) **Duration**: 60 minutes **Tasks**: 01, 02, 03 **Dependencies**: None - fully parallel ```mermaid graph TD A[01-core-service] --> D[Integration Phase] B[02-mcp-tools] --> D C[03-config-system] --> D ``` **Task 01: Core Service** (25 min) - **Owner**: Senior Backend Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/01-core-service/` - **Output**: Complete AI coder service layer - **Key Deliverable**: `AICoderManager` interface **Task 02: MCP Tools** (20 min) - **Owner**: API Integration Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/02-mcp-tools/` - **Output**: 6 MCP tools for AI coder control - **Key Deliverable**: `ai_coder_*` tool suite **Task 03: Configuration** (15 min) - **Owner**: DevOps/Configuration Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/03-config-system/` - **Output**: Complete configuration system - **Key Deliverable**: TOML configuration structure ### Phase 2: Integration & UI (Parallel) **Duration**: 65 minutes **Tasks**: 04, 05, 06 **Dependencies**: Requires Phase 1 completion ```mermaid graph TD D[Phase 1 Complete] --> E[04-tui-integration] D --> F[05-process-integration] D --> G[06-event-system] E --> H[Integration Phase] F --> H G --> H ``` **Task 04: TUI Integration** (30 min) - **Owner**: Frontend TUI Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/04-tui-integration/` - **Output**: Complete TUI view for AI coders - **Key Deliverable**: `ViewAICoders` with BubbleTea components **Task 05: Process Integration** (20 min) - **Owner**: Systems Integration Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/05-process-integration/` - **Output**: AI coder processes in process manager - **Key Deliverable**: Process coordination and event bridging **Task 06: Event System** (18 min) - **Owner**: Event Systems Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/06-event-system/` - **Output**: AI coder event types and handlers - **Key Deliverable**: Event aggregation and real-time updates ### Phase 3: Quality Assurance (Sequential) **Duration**: 47 minutes **Tasks**: 07, 08 **Dependencies**: Requires Phase 2 completion ```mermaid graph TD H[Phase 2 Complete] --> I[07-testing-suite] I --> J[08-documentation] J --> K[Feature Complete] ``` **Task 07: Testing Suite** (25 min) - **Owner**: QA/Testing Developer - **Worktree**: `~/work/worktrees/agentic-ai-coders/07-testing-suite/` - **Output**: Comprehensive test coverage - **Key Deliverable**: Unit, integration, and system tests **Task 08: Documentation** (22 min) - **Owner**: Technical Writer - **Worktree**: `~/work/worktrees/agentic-ai-coders/08-documentation/` - **Output**: Complete user and developer documentation - **Key Deliverable**: User guides and API documentation ## Worktree Setup Commands Execute these commands to set up the parallel development environment: ```bash # Create main worktree directory mkdir -p ~/work/worktrees/agentic-ai-coders # Phase 1 worktrees (parallel setup) git worktree add ~/work/worktrees/agentic-ai-coders/01-core-service -b feature/ai-coder-core-service git worktree add ~/work/worktrees/agentic-ai-coders/02-mcp-tools -b feature/ai-coder-mcp-tools git worktree add ~/work/worktrees/agentic-ai-coders/03-config-system -b feature/ai-coder-config-system # Phase 2 worktrees (created after Phase 1) git worktree add ~/work/worktrees/agentic-ai-coders/04-tui-integration -b feature/ai-coder-tui-integration git worktree add ~/work/worktrees/agentic-ai-coders/05-process-integration -b feature/ai-coder-process-integration git worktree add ~/work/worktrees/agentic-ai-coders/06-event-system -b feature/ai-coder-event-system # Phase 3 worktrees (created after Phase 2) git worktree add ~/work/worktrees/agentic-ai-coders/07-testing-suite -b feature/ai-coder-testing-suite git worktree add ~/work/worktrees/agentic-ai-coders/08-documentation -b feature/ai-coder-documentation # Verify worktree setup git worktree list | grep agentic-ai-coders ``` ## Integration Strategy ### Phase 1 → Phase 2 Integration **Integration Point**: Core service interfaces **Process**: 1. Merge Task 01 branch to main 2. Update Phase 2 worktrees from main 3. Begin Phase 2 development with stable interfaces **Commands**: ```bash # After Phase 1 completion cd ~/work/brummer git checkout main git merge feature/ai-coder-core-service git merge feature/ai-coder-mcp-tools git merge feature/ai-coder-config-system # Update Phase 2 worktrees cd ~/work/worktrees/agentic-ai-coders/04-tui-integration git rebase main cd ~/work/worktrees/agentic-ai-coders/05-process-integration git rebase main cd ~/work/worktrees/agentic-ai-coders/06-event-system git rebase main ``` ### Phase 2 → Phase 3 Integration **Integration Point**: Complete feature implementation **Process**: 1. Merge all Phase 2 branches 2. Resolve any integration conflicts 3. Begin testing and documentation **Commands**: ```bash # After Phase 2 completion cd ~/work/brummer git checkout main git merge feature/ai-coder-tui-integration git merge feature/ai-coder-process-integration git merge feature/ai-coder-event-system # Update Phase 3 worktrees cd ~/work/worktrees/agentic-ai-coders/07-testing-suite git rebase main cd ~/work/worktrees/agentic-ai-coders/08-documentation git rebase main ``` ## Quality Gates ### Phase 1 Completion Criteria - [ ] All Phase 1 tasks marked complete - [ ] Core service interfaces stable and documented - [ ] MCP tools registered and callable - [ ] Configuration system validated - [ ] No build errors in main branch after merge **Validation Commands**: ```bash # Core service validation go build ./internal/aicoder go test ./internal/aicoder -v # MCP tools validation go build ./internal/mcp curl -X POST http://localhost:7777/mcp -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | grep ai_coder # Configuration validation brum --validate-config ``` ### Phase 2 Completion Criteria - [ ] All Phase 2 tasks marked complete - [ ] TUI shows AI coder tab and functions - [ ] AI coder processes appear in process manager - [ ] Events flow correctly between components - [ ] Integration tests pass **Validation Commands**: ```bash # TUI integration validation ./brum | grep -i "ai.*coder" # Tab appears grep -q "ViewAICoders" internal/tui/model.go # Process integration validation ./brum scripts_status | grep -i "ai.*coder" # Event system validation go test ./pkg/events -run TestAICoder -v ``` ### Phase 3 Completion Criteria - [ ] All tests pass including race condition detection - [ ] Documentation complete and validated - [ ] End-to-end workflows function correctly - [ ] Performance benchmarks meet requirements **Validation Commands**: ```bash # Testing validation go test ./... -race -v go test ./test -run TestAICoderSystem -v # Documentation validation markdownlint docs/ai-coder*.md grep -q "AI Coder" README.md ``` ## Risk Mitigation ### High-Risk Integration Points **Risk**: TUI integration complexity **Mitigation**: - Implement TUI components incrementally - Test each component independently - Use existing TUI patterns as templates **Risk**: Event system coordination **Mitigation**: - Implement event types before handlers - Test event flow with simple payloads first - Monitor for event loops and performance issues **Risk**: Process manager integration **Mitigation**: - Use existing process patterns - Implement bridge pattern for loose coupling - Test with mock AI coder processes first ### Dependency Management **Critical Dependencies**: 1. **Task 01 → Tasks 02, 04, 05**: Core service interface 2. **Task 01 → Task 06**: Event emission patterns 3. **Tasks 01-06 → Task 07**: Complete implementation for testing 4. **Tasks 01-07 → Task 08**: Working system for documentation **Contingency Plans**: - **Interface Changes**: Use adapter pattern for temporary compatibility - **Integration Conflicts**: Merge to integration branch before main - **Performance Issues**: Implement with feature flags for gradual rollout ## Communication Plan ### Daily Standups - **Time**: Start of each development session - **Focus**: Blockers, dependencies, integration points - **Duration**: 15 minutes maximum ### Integration Checkpoints - **Phase 1 Complete**: Review interfaces and dependencies - **Phase 2 Complete**: End-to-end functionality test - **Final Integration**: Full system validation ### Documentation Updates - **Real-time**: Update task status in individual task files - **Phase Completion**: Update this execution guide with lessons learned - **Final**: Create project retrospective document ## Success Metrics ### Technical Metrics - **Code Coverage**: >90% for core AI coder functionality - **Performance**: <500ms response time for AI coder operations - **Integration**: All 8 tasks integrate without conflicts - **Quality**: Zero critical bugs in integration testing - **Interactivity**: <100ms latency for tmux-style commands - **Error Reporting**: <1s from error detection to AI notification ### Process Metrics - **Schedule**: Complete within estimated timeframes - **Coordination**: No blocking dependencies >30 minutes - **Quality Gates**: All phases pass validation criteria - **Team Coordination**: Effective parallel development ## Post-Completion Tasks ### Cleanup ```bash # Remove worktrees after successful integration git worktree remove ~/work/worktrees/agentic-ai-coders/01-core-service git worktree remove ~/work/worktrees/agentic-ai-coders/02-mcp-tools # ... (repeat for all worktrees) # Clean up feature branches git branch -d feature/ai-coder-core-service git branch -d feature/ai-coder-mcp-tools # ... (repeat for all feature branches) ``` ### Documentation - [ ] Update main README.md with AI coder feature - [ ] Add AI coder section to architecture documentation - [ ] Create user tutorial video or interactive guide - [ ] Update changelog with new feature ### Release Preparation - [ ] Tag release with AI coder feature - [ ] Update version numbers - [ ] Create release notes highlighting AI coder capabilities - [ ] Prepare announcement for community This execution guide provides the roadmap for transforming the AI coder feature from concept to reality through coordinated parallel development.