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Answers two review notes on the concurrent Tier A runner with measurements instead of code changes: - Two cores stay serial. Two in flight would give each project one Jest worker, which runs Jest in-band; on a 2-core / 7 GB container ui-playback and web ran out of their 2 GiB default heap. With a 4 GiB heap it passed about 15% faster on a warm cache for 1.2 GiB more peak memory. CI runs on 4 cores. A test pins that the defaults never drop to one worker. - Per-project output buffering is bounded in practice: a big project with every test failing printed 1.8 MB while its Jest process peaked at 850 MB. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>