27. Performance Optimization
AI identifies performance bottlenecks and suggests optimizations: caching, indexing, algorithm improvements.
(Spoiler: Your O(n²) algorithm was the problem all along. AI spotted it in 5 seconds. You defended it for 3 hours. "But it works!" Sure, on 10 records. š)
AI for Performance
- Algorithm Analysis: "What's the time complexity? Can we improve?"
- Query Optimization: Paste slow SQL ā AI suggests indexes
- Caching Strategies: "Where should I add caching?"
- Code Profiling Analysis: Upload profile data ā AI finds hotspots
Example Prompts
- "This function is slow. Optimize it."
- "Add memoization to this React component"
- "Suggest database indexes for this query"