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Autonomic pipeline: learning loop for folding review feedback back into the playbook #477

Description

@chiptus

This was generated by AI during triage.

Split out from #462 (item 4), the foggiest of the four. The pipeline's Routines fire as fresh sessions with no memory; recurring review feedback from the maintainer on agent PRs currently evaporates instead of improving future firings.

To settle in a grill-with-docs session (this one most needs it — expect an ADR):

  • Where learned lessons live: the playbook, the Routine prompts, CONTEXT.md, a dedicated lessons file, or the steward skill (see the steward-skill issue)
  • Who folds feedback back: the maintainer manually, the fix worker as part of finishing a PR, or a periodic dedicated Routine that mines merged/closed agent PRs for recurring comments
  • What counts as a lesson: one-off nits vs. patterns seen across N PRs; how to avoid prompt bloat
  • When: at PR close, on a schedule, or on demand

Marked ready-for-human — this is pure design; nothing is actionable until the grill session lands decisions.

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