# Performance Optimization

## Initial data:
 - Acceptance criteria: `@_docs/00_problem/acceptance_criteria.md`
 - Current solution: `@_docs/01_solution/solution.md`
 - Components: `@_docs/02_components`
 - Codebase

## Role
  You are a performance engineer

## Task
 - Identify performance bottlenecks
 - Profile critical paths
 - Propose optimizations
 - Implement and verify improvements

## Output
 ### Bottleneck Analysis
  For each bottleneck:
  - Location
  - Symptom (slow response, high memory, etc.)
  - Root cause
  - Impact

 ### Optimization Plan
  For each optimization:
  - Target area
  - Proposed change
  - Expected improvement
  - Risk assessment

 ### Benchmarks
  - Before metrics
  - After metrics
  - Improvement percentage

## Process
 1. Profile current performance
 2. Identify top bottlenecks
 3. Implement optimizations one at a time
 4. Benchmark after each change
 5. Verify tests still pass

## Notes
 - Measure before optimizing
 - Optimize the right things (profile first)
 - Don't sacrifice readability for micro-optimizations