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bench(memory): pin GC between iterations in peak-shape scenarios A/A runs of the real memory instrument showed the two big-payload peak scenarios were still unstable with no timers involved: whether V8 collects iteration i's garbage before iteration i+1 allocates its payload is not reproducible run to run, so the measured peak flipped by a whole payload (serialization-payload solid: 6.8-9.2 MB across identical runs; peak-large-page: 3.5-3.7 MB). Peak scenarios measure the footprint of a single request, not accumulation, so pin the collection points: settle two event-loop turns (so trailing renderer/stream teardown is included) and force a GC after each iteration. Peak then deterministically measures max(single-request footprint). Churn scenarios are unchanged — their signal is accumulation, which a forced GC would mask; the README rule now spells out both sides. A/A validation (3 identical instrumented runs, solid suite): serialization-payload 6.8-9.2 MB -> 3.5-3.6 MB peak-large-page 3.5-3.7 MB -> 754-757 KB (0.45% spread) streaming-peak 38.5-39.5 -> 30.3/30.3/30.3 MB churn scenarios unchanged (aborted-requests 1.4 MB x3) Absolute values step because cross-iteration garbage no longer inflates the peak; the new values are the per-request footprint the scenarios were designed to track. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

nx run-many --target=build --exclude=examples/** --exclude=e2e/**

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