38cce575f5
- Updated project CLAUDE.md with detailed commands, workflows, and guidelines - Added environment configuration and performance monitoring commands - Enhanced security guidelines and commit message conventions - Created 5 custom slash commands for common MEV bot development tasks: * /analyze-performance - Comprehensive performance analysis * /debug-issue - Structured debugging workflow * /implement-feature - Feature implementation framework * /security-audit - Security audit checklist * /optimize-performance - Performance optimization strategy - Updated global CLAUDE.md with universal best practices - Improved file organization and development standards 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Analyze Performance Issues
Perform a comprehensive performance analysis of the MEV bot: $ARGUMENTS
Analysis Steps:
- Memory Profiling: Check for memory leaks and high allocation patterns
- CPU Profiling: Identify CPU bottlenecks and hot paths
- Goroutine Analysis: Look for goroutine leaks and blocking operations
- I/O Performance: Analyze network and disk I/O patterns
- Concurrency Issues: Check for race conditions and lock contention
Performance Commands to Run:
# Memory profile
go tool pprof http://localhost:9090/debug/pprof/heap
# CPU profile
go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
# Goroutine analysis
go tool pprof http://localhost:9090/debug/pprof/goroutine
# Enable race detector
go run -race ./cmd/mev-bot
Analysis Focus Areas:
- Worker pool efficiency in
pkg/market/pipeline.go - Event parsing performance in
pkg/events/ - Uniswap math calculations in
pkg/uniswap/ - Memory usage in large transaction processing
- Rate limiting effectiveness in
internal/ratelimit/
Please provide specific performance metrics and recommendations for optimization.