SuperAPI AI Directory

perf-loop

Coding & development

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Updated 10-16 05:39

About this skill

Performance loop
  1. Choose a stable benchmark and preserve its identity and workload. Before you freeze it, prove that it can see the problem: a known slowdown must move the result.
  2. Record a statistically useful baseline. Set a target and a minimum number of rounds. Do not stop before that minimum unless you reach the target.
  3. Profile the hot path before editing.
  4. Implement one bounded optimization.
  5. Re-run the same benchmark and correctness checks.
  6. Keep the change only when the improvement is reproducible and no contract regresses.
  7. Use a new benchmark identifier for a materially different workload.
  8. Run review.

Do not report performance gains from debug builds or incomparable fixtures.