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. 🐌)

AI for Performance

  • Algorithm Analysis: "What's the time complexity? Can we improve?"
  • Query Optimization: Paste slow SQL → AI suggests indexes
  • Caching Strategies: "Where should I add caching?"
  • Code Profiling Analysis: Upload profile data → AI finds hotspots

Example Prompts

  • "This function is slow. Optimize it."
  • "Add memoization to this React component"
  • "Suggest database indexes for this query"