Files
mev-beta/orig/.claude/commands/analyze-performance.md
Administrator c54c569f30 refactor: move all remaining files to orig/ directory
Completed clean root directory structure:
- Root now contains only: .git, .env, docs/, orig/
- Moved all remaining files and directories to orig/:
  - Config files (.claude, .dockerignore, .drone.yml, etc.)
  - All .env variants (except active .env)
  - Git config (.gitconfig, .github, .gitignore, etc.)
  - Tool configs (.golangci.yml, .revive.toml, etc.)
  - Documentation (*.md files, @prompts)
  - Build files (Dockerfiles, Makefile, go.mod, go.sum)
  - Docker compose files
  - All source directories (scripts, tests, tools, etc.)
  - Runtime directories (logs, monitoring, reports)
  - Dependency files (node_modules, lib, cache)
  - Special files (--delete)

- Removed empty runtime directories (bin/, data/)

V2 structure is now clean:
- docs/planning/ - V2 planning documents
- orig/ - Complete V1 codebase preserved
- .env - Active environment config (not in git)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-10 10:53:05 +01:00

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Markdown

# Analyze Performance
Perform a comprehensive performance analysis of the MEV bot: $ARGUMENTS
## Analysis Steps:
1. **Memory Profiling**: Check for memory leaks and high allocation patterns
2. **CPU Profiling**: Identify CPU bottlenecks and hot paths
3. **Goroutine Analysis**: Look for goroutine leaks and blocking operations
4. **I/O Performance**: Analyze network and disk I/O patterns
5. **Concurrency Issues**: Check for race conditions and lock contention
## Performance Commands to Run:
```bash
# 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.