performance-profiling
Systematic approach to measuring, analyzing, and optimizing application performance.
- Covers Core Web Vitals (LCP, INP, CLS) with target thresholds and measurement stages from development through production
- Provides a 4-step profiling workflow: establish baseline, identify bottleneck, apply fix, validate improvement
- Includes tool selection guidance for specific problems (Lighthouse for page load, DevTools for runtime and memory, bundle analyzers for code size)
- Documents common runtime patterns (long tasks, layout thrashing, memory leaks) and prioritized optimization actions with expected impact levels
Performance Profiling
Measure, analyze, optimize - in that order.
🔧 Runtime Scripts
Execute these for automated profiling:
| Script | Purpose | Usage |
|---|---|---|
scripts/lighthouse_audit.py |
Lighthouse performance audit | python scripts/lighthouse_audit.py https://example.com |
1. Core Web Vitals
Targets
| Metric | Good | Poor | Measures |
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