emaraschio Overview
Analyze the current code for performance bottlenecks and provide optimization recommendations, focusing on measurable improvements while maintaining code quality and readability.
Steps
- Performance Analysis
- Identify slow algorithms and inefficient data structures
- Find memory leaks and excessive allocations
- Identify slow queries and improve them specifically for Solid Queue and n+1 queries
- Detect unnecessary computations and redundant operations
- Analyze database queries and API calls
- Optimization Strategies
- Suggest algorithm improvements and better data structures
- Recommend caching strategies where appropriate
- Propose lazy loading and pagination solutions
- Identify opportunities for parallel processing
- Implementation
- Provide optimized code with explanations
- Include performance impact estimates
- Suggest profiling and monitoring approaches
- Consider trade-offs between performance and maintainability
Optimize Performance Checklist
- Identified slow algorithms and inefficient data structures
- Found memory leaks and excessive allocations
- Detected unnecessary computations and redundant operations
- Analyzed database queries and API calls
- Suggested algorithm improvements and better data structures
- Recommended caching strategies where appropriate
- Provided optimized code with explanations
- Included performance impact estimates
- Considered trade-offs between performance and maintainability
Guardrails
- Measure first: profile to find the real bottleneck before changing code.
- Do not trade readability for unmeasured micro-gains.
- Do not commit, push, merge, or run production scripts without consent; wait for an explicit request before any destructive git action.
- Do not print, log, or commit secrets or credentials encountered while profiling or optimizing; flag any exposed secret instead.