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Profile before optimizing; optimize with evidence, not intuition
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| name | performance-optimization |
| description | Profile before optimizing; optimize with evidence, not intuition |
| difficulty | senior |
| domains | ["general"] |
Performance optimization without profiling is guessing. This skill enforces: measure first, optimize the bottleneck, measure again. It prevents wasted effort on non-bottlenecks and ensures optimizations don't regress correctness.
/review workflow for latency-sensitive pathsBefore touching any code, record: current p50/p95/p99 latency, throughput, error rate under representative load. Without a baseline, you can't prove improvement.
Run a profiler, not your intuition:
The bottleneck is almost never where you think it is.
The single slowest operation in the critical path. Fix that first. Do not optimize non-bottlenecks.
Create a benchmark that isolates the bottleneck and can be run repeatedly. This is your before/after comparison.
Common patterns:
Run the benchmark before and after. Calculate: % improvement in p99, % reduction in resource usage. If the improvement is not measurable, the optimization was not worth the complexity.
Run the full test suite. Performance optimizations frequently introduce bugs.
Record: what was slow, why, what was done, and the measured improvement. Future engineers will need to understand why this code looks unusual.
"I know this is slow — I don't need to profile" Everyone thinks they know where the bottleneck is. Profilers are always more accurate than intuition.
"This optimization is obvious — I don't need a benchmark" Without a benchmark, "obvious improvement" is also "unmeasured claim."