rawgentic:optimize-perf

To optimize slow API response times, establish baseline profiling metrics, identify bottlenecks like slow database queries, implement data-driven optimizations, and verify improvements with before and after benchmarks.

Benchmark-driven development for performance optimization is a workflow that requires defining and writing tests to measure performance before implementing any changes, ensuring optimizations are verified by quality gates and CI checks.

Identifying performance bottlenecks via profiling involves establishing current baseline performance metrics, analyzing the data to locate slow queries or compute issues, and applying targeted optimizations across supported categories like memory and network.

Yes, you can use this workflow to optimize frontend and database query performance, as it supports various optimization categories including query, API, compute, memory, network, and frontend performance improvements.

The best way to verify performance improvements is by running before and after benchmarks and enforcing quality gates, including code review and CI verification, to ensure the optimizations are correct and safe.

Yes, you need to write tests before optimizing slow database queries because this benchmark-driven workflow implements optimizations only after defining and writing tests that measure the current performance baseline.