optimize
Performance Optimization Skill
When analyzing code for performance, follow this structured process:
1. Understand What's Slow
- Ask or determine: what operation is slow? (page load, API response, build time, query, render)
- What's the current performance? (response time, load time, memory usage)
- What's the expected/acceptable performance?
- How much data is involved? (10 rows vs 10 million rows changes everything)
2. Algorithm & Data Structure Analysis
- Identify time complexity of key operations (O(n), O(n²), O(n log n), etc.)
- Look for nested loops over large datasets
- Check if a different data structure would help:
- Array lookups that should be Map/Set/Object for O(1) access
- Linear searches that should use binary search or indexing
- Repeated array filtering that should be pre-grouped
- Look for unnecessary sorting or repeated work
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