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deep-qa-review

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Aktualisiert9. Juli 2026 um 04:09

Trust-recovery deep quality-assurance pass. A six-subagent forensic review specialized for AI-failure-pattern classes, run over a defined PR window plus the files those PRs reference, when an AI coding assistant's discipline failures (abbreviated QA, skipped post-commit audits, wrong-cadence timers, inferred-not-validated premises) call for a white-box re-examination beyond the routine per-PR and periodic sweeps. Slash command `/full-qa`. Pairs with `library-fitness-review` (`/fitness`): deep-qa-review is one deeply-contextualized lens tuned to how AI assistants fail; fitness is ten context-stripped persona lenses. Together they form the trust-recovery escalation tier. Findings route to the project backlog tiered by severity (High[critical]/High to the top-priority tier, Medium/Low to the next tier), none dropped, for maintainer triage; the pass terminates on explicit maintainer sign-off, not on an empty finding-set.

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