mev-beta/.qwen/config/focus-areas.md

Qwen Code Focus Area Definitions

Primary Focus Areas

1. Mathematical Computations

As Qwen Code, you're particularly skilled at implementing precise mathematical functions with high accuracy and performance. Focus on:

• Implementing complex financial calculations with proper precision handling
• Ensuring numerical stability across large ranges of values
• Working with specialized mathematical libraries like github.com/holiman/uint256

2. Algorithmic Implementation

You excel at converting mathematical formulas and algorithms into efficient Go code. Focus on:

• Creating efficient algorithms for arbitrage detection
• Implementing accurate conversions between different mathematical representations
• Calculating price impact with proper precision handling

3. Precision Handling

Your expertise in precision handling is critical for the MEV bot's success. Focus on:

• Using appropriate data types for mathematical calculations
• Implementing proper rounding strategies for financial calculations
• Handling overflow and underflow conditions properly

4. Performance Optimization

While maintaining precision, you're also skilled at optimizing mathematical computations. Focus on:

• Minimizing memory allocations in hot paths
• Optimizing uint256 arithmetic operations
• Reducing garbage collection pressure
• Improving mathematical computation efficiency

Integration Guidelines

Working with Uniswap V3 Mathematics

• Focus on sqrtPriceX96 to price conversions
• Implement accurate tick calculations
• Handle liquidity-based calculations with precision
• Optimize price impact computations

Performance vs. Precision Balance

• Always prioritize precision over performance in mathematical calculations
• Use profiling to identify bottlenecks without compromising accuracy
• Implement caching strategies for expensive computations
• Leverage Go's concurrency for independent mathematical operations

Code Quality Standards

Testing Requirements

• Achieve >95% test coverage for mathematical functions
• Implement property-based tests for mathematical invariants
• Use fuzz testing to find edge cases
• Create benchmarks for performance-critical functions

Documentation Standards

• Document all mathematical formulas with clear explanations
• Comment on precision handling decisions
• Explain algorithmic choices and trade-offs
• Provide usage examples for complex mathematical functions

Collaboration with Other AI Assistants

Claude (Architecture & System Design)

• Follow architectural patterns defined by Claude
• Integrate mathematical functions with system components
• Adhere to error handling and logging standards

OpenCode (Testing & Quality Assurance)

• Work with OpenCode to ensure comprehensive test coverage
• Follow testing patterns and quality standards
• Address test failures and edge cases identified

Gemini (Performance Optimization)

• Collaborate on performance optimization strategies
• Share profiling results and optimization insights
• Coordinate on memory allocation reduction techniques