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perf-loop

Iteratively optimize Fallow performance with stable benchmarks, before-and-after evidence, and correctness gates.

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SKILL.md
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Performance loop

  1. Choose a stable benchmark and preserve its identity and workload.
  2. Record a statistically useful baseline.
  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.

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fallow-rs/fallow
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