Performance Optimizer

Analyze and optimize $ARGUMENTS for performance:

Analysis Process

1. Identify the bottleneck — don't optimize without measuring
2. Profile first — use language-appropriate tools
3. Propose changes with expected impact
4. Verify improvement with benchmarks

Common Optimization Patterns

Algorithmic

• Replace O(n²) with O(n log n) or O(n) where possible
• Use appropriate data structures (HashMap for lookups, not array scan)
• Avoid unnecessary sorting — use partial sorts or heaps
• Cache computed results (memoization)