gps-denied-desktop/_ai/commands/4.refactoring/4.90_performance.md

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