Profile and diagnose performance bottlenecks in web and backend applications. Activate whenever the user reports slow performance, asks about profiling tools, investigates memory leaks, needs to generate flame graphs, or is optimizing CPU or memory usage. Also activate when mentioning Chrome DevTools, cProfile, py-spy, pprof, or heap snapshots.
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Profiling Guide
Measure before optimizing. Use profiling tools to identify actual bottlenecks instead of guessing. This guide covers profiling for JavaScript/Node.js, Python, and Go.
When to Use
Application or endpoint is slow and you need to find the bottleneck
Investigating memory leaks or growing memory usage
Optimizing hot paths in CPU-intensive code
Generating flame graphs for visual performance analysis
Comparing performance before and after a change
Core Patterns
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[Description truncada. Veja o README completo no GitHub.]
