3 Commits

Include renames

Author	SHA1	Message	Date
3 people	963a431bb7	docs(coverage): record why two-core Tier A runs stay serial (#1741) ... * docs(coverage): record why two-core Tier A runs stay serial 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> * docs(coverage): say two-core runs keep two workers per project Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> --------- Co-authored-by: 4gray <fourgray@proton.me> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>	2026-09-29 20:38:06 +02:00
4gray	76dd8c099e	ci(test): download the Electron binary once before unit specs run (#1739)	2026-09-29 08:57:07 +02:00
4grayandClaude Fable 5.1	8ebb7e3424	perf(ci): run Tier A coverage concurrently with isolatedModules ts-jest (#1701) ... Tier A coverage runs projects a few at a time (largest first, bounded Jest workers, buffered output, fail-fast kept) and ts-jest transpiles with isolatedModules instead of type-checking per process; five type re-exports become export type, two decorated inputs use import type. Unit Tests and Typechecks job: 26 min -> 9 min (Tier A step 23 min -> 6.5 min). Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-09-26 23:05:26 +02:00