chore(ai): add comprehensive CLI configurations for all AI assistants

Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
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Krypto Kajun
2025-09-14 10:09:55 -05:00
parent 2c4f663728
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# Optimize Mathematical Performance
Optimize the performance of the following mathematical function in the MEV bot: $ARGUMENTS
## Performance Optimization Strategy:
### 1. **Profiling and Measurement**
```bash
# CPU profiling for mathematical functions
go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
# Memory profiling for mathematical calculations
go tool pprof http://localhost:9090/debug/pprof/heap
# Benchmark testing for mathematical functions
go test -bench=. -benchmem ./pkg/uniswap/...
```
### 2. **Optimization Areas**
#### **Precision Handling Optimization**
- Uint256 arithmetic optimization
- Object pooling for frequent calculations
- Minimize memory allocations in hot paths
- Efficient conversion between data types
#### **Algorithm Optimization**
- Mathematical formula simplification
- Lookup table implementation for repeated calculations
- Caching strategies for expensive computations
- Parallel processing opportunities
#### **Memory Optimization**
- Pre-allocation of slices and buffers
- Object pooling for mathematical objects
- Minimize garbage collection pressure
- Efficient data structure selection
### 3. **MEV Bot Specific Optimizations**
#### **Uniswap V3 Pricing Functions**
- sqrtPriceX96 to price conversion optimization
- Tick calculation performance improvements
- Liquidity-based calculation efficiency
- Price impact computation optimization
#### **Arbitrage Calculations**
- Profit calculation optimization
- Cross-pool comparison performance
- Gas estimation accuracy and speed
- Multi-hop arbitrage efficiency
## Implementation Guidelines:
- Measure before optimizing (baseline metrics)
- Focus on bottlenecks identified through profiling
- Maintain mathematical precision while improving performance
- Add performance tests for regressions
- Document optimization strategies and results
## Deliverables:
- Performance benchmark results (before/after)
- Optimized code with maintained precision
- Performance monitoring enhancements
- Optimization documentation
- Regression test suite