feat: Enhanced Claude Code configuration with comprehensive best practices
- 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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# Optimize MEV Bot Performance
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Optimize the performance of the MEV bot in the following area: $ARGUMENTS
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## Performance Optimization Strategy:
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### 1. **Profiling and Measurement**
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```bash
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# CPU profiling
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go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
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# Memory profiling
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go tool pprof http://localhost:9090/debug/pprof/heap
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# Trace analysis
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go tool trace trace.out
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# Benchmark testing
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go test -bench=. -benchmem ./...
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```
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### 2. **Optimization Areas**
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#### **Concurrency Optimization**
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- Worker pool sizing and configuration
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- Channel buffer optimization
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- Goroutine pooling and reuse
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- Lock contention reduction
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- Context cancellation patterns
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#### **Memory Optimization**
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- Object pooling for frequent allocations
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- Buffer reuse patterns
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- Garbage collection tuning
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- Memory leak prevention
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- Slice and map pre-allocation
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#### **I/O Optimization**
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- Connection pooling for RPC calls
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- Request batching and pipelining
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- Caching frequently accessed data
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- Asynchronous processing patterns
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- Rate limiting optimization
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#### **Algorithm Optimization**
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- Uniswap math calculation efficiency
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- Event parsing performance
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- Data structure selection
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- Caching strategies
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- Indexing improvements
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### 3. **MEV Bot Specific Optimizations**
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#### **Transaction Processing Pipeline**
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- Parallel transaction processing
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- Event filtering optimization
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- Batch processing strategies
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- Pipeline stage optimization
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#### **Market Analysis**
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- Price calculation caching
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- Pool data caching
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- Historical data indexing
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- Real-time processing optimization
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#### **Arbitrage Detection**
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- Opportunity scanning efficiency
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- Profit calculation optimization
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- Market impact analysis speed
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- Cross-DEX comparison performance
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## Implementation Guidelines:
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- Measure before optimizing (baseline metrics)
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- Focus on bottlenecks identified through profiling
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- Maintain code readability and maintainability
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- Add performance tests for regressions
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- Document performance characteristics
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## Deliverables:
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- Performance benchmark results (before/after)
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- Optimized code with maintained functionality
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- Performance monitoring enhancements
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- Optimization documentation
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- Regression test suite
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