Brummer MCP Server

# Task: Comprehensive Race Condition Analysis ## Persona: Research Analyst Role: Technical Research Specialist Expertise: Concurrency patterns, Go best practices, race condition detection ## Current State Assessment **Before starting this task:** ```yaml existing_state: - ✅ Initial race condition report completed with static analysis - ✅ Basic go vet output shows 60+ value copy warnings - ✅ Failed race detector tests identified performance issues - ❌ Detailed analysis of lock-free alternatives not completed - ❌ Industry best practices for Go concurrency not documented - ❓ Unknown: Optimal worker pool sizing for EventBus - ❓ Unknown: Performance impact of synchronization changes current_files: - pkg/events/events.go: Has unlimited goroutine spawning issue - internal/tui/model.go: Has value receiver race conditions - internal/process/manager.go: Has concurrent map access issues - internal/logs/store.go: Has mixed async/sync operations - internal/proxy/server.go: Has multiple mutex anti-pattern ``` ## File Scope Definition **Explicit file list for this task:** ```yaml read_files: - pkg/events/events.go # EventBus analysis - internal/tui/model.go # TUI Model analysis - internal/process/manager.go # Process Manager analysis - internal/logs/store.go # Log Store analysis - internal/proxy/server.go # Proxy Server analysis - internal/mcp/connection_manager.go # MCP analysis - go.mod # Check dependencies - Makefile # Build/test commands - CLAUDE.md # Current guidelines create_files: - requests/race-condition-fixes/research/concurrency-best-practices.md - requests/race-condition-fixes/research/worker-pool-sizing.md - requests/race-condition-fixes/research/lock-free-alternatives.md - requests/race-condition-fixes/research/performance-benchmarks.md - requests/race-condition-fixes/research/go-race-detection-tools.md # Total: 14 files (within limits) ``` ## Task Requirements - **Objective**: Create comprehensive analysis of race conditions and research optimal solutions - **Risk Level**: LOW (Research only, no code changes) - **Dependencies**: None (foundational research) - **Deliverables**: - Detailed concurrency best practices document - Worker pool sizing recommendations - Lock-free alternative analysis - Performance impact assessment - Tool recommendations for ongoing race detection ## Success Criteria Checklist - [ ] Document Go concurrency best practices with code examples - [ ] Research optimal worker pool sizing for EventBus (CPU cores * N factor) - [ ] Analyze lock-free alternatives to current mutex usage - [ ] Estimate performance impact of proposed synchronization changes - [ ] Document race detection tools and CI integration options - [ ] Create benchmark baseline for critical code paths - [ ] Research goroutine leak detection and prevention - [ ] Document deadlock prevention patterns ## Risk Mitigation - **Spike Tasks**: No implementation required, pure research - **Validation Steps**: Validate recommendations against current codebase - **Progressive Research**: Start with critical issues, expand to optimizations ## Success Validation ```bash # Verify research documents created ls -la requests/race-condition-fixes/research/ # Expected: 5 research documents # Check document completeness wc -l requests/race-condition-fixes/research/*.md # Expected: Substantial content in each document (>100 lines each) # Validate recommendations against codebase grep -r "sync\." --include="*.go" | wc -l # Count current synchronization usage for baseline ``` ## Research Areas ### 1. Go Concurrency Best Practices - **Mutex vs RWMutex selection criteria** - **Channel vs mutex decision matrix** - **Worker pool patterns and implementations** - **Context-based cancellation patterns** - **Error handling in concurrent operations** ### 2. Worker Pool Sizing Research - **CPU-bound vs I/O-bound workload considerations** - **Runtime.NumCPU() scaling factors** - **Dynamic vs static pool sizing** - **Backpressure handling strategies** - **Memory usage implications** ### 3. Lock-Free Alternatives - **sync/atomic package usage patterns** - **Compare-and-swap (CAS) implementations** - **Lock-free data structures** - **Memory ordering considerations** - **Performance trade-offs** ### 4. Performance Impact Analysis - **Synchronization overhead measurements** - **Before/after benchmark planning** - **Memory allocation patterns** - **Goroutine lifecycle overhead** - **Channel operation costs** ### 5. Race Detection Tools - **go test -race integration** - **Static analysis tools (go vet, staticcheck)** - **Runtime detection options** - **CI/CD integration patterns** - **Continuous monitoring solutions** ## Context from PRD This research forms the foundation for all subsequent implementation tasks. The recommendations will guide: - TUI Model pointer receiver conversion approach - EventBus worker pool sizing and implementation - Process Manager synchronization strategy - Log Store consistency patterns - Testing and validation approaches ## Language-Specific Reminders - Go's memory model and happens-before relationships - Channel semantics and buffering considerations - Goroutine scheduler behavior and preemption - GC interaction with concurrent operations - Interface satisfaction for concurrent types ## Constraints - **Time**: 2 hours maximum - **Resources**: Access to Go documentation, GitHub examples, performance studies - **Technical**: Must align with existing codebase patterns and Go version - **Token Budget**: Research synthesis, not raw data copying ## Execution Checklist - [ ] Review all specified files for current patterns - [ ] Research Go concurrency best practices - [ ] Analyze worker pool implementation options - [ ] Document lock-free alternatives with trade-offs - [ ] Create performance impact assessment framework - [ ] Document race detection tool recommendations - [ ] Synthesize findings into actionable recommendations - [ ] Validate recommendations against current codebase constraints ## Expected Research Outputs ### Concurrency Best Practices Document - Mutex selection guidelines - Channel vs mutex decision tree - Error handling patterns - Resource cleanup strategies ### Worker Pool Sizing Document - EventBus optimal pool size calculation - Dynamic sizing considerations - Backpressure handling strategies - Memory usage implications ### Lock-Free Alternatives Document - Current mutex usage analysis - Atomic operation opportunities - Implementation complexity assessment - Performance trade-off analysis ### Performance Benchmarks Document - Baseline measurement strategy - Critical path identification - Before/after comparison framework - Regression detection approach ### Race Detection Tools Document - CI/CD integration options - Continuous monitoring recommendations - Development workflow integration - Tool comparison matrix