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Route auto review requests to agentic review

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tegwick 2026-05-15 15:53:52 +02:00
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docs/abstraction-strategy.md
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@ -49,9 +49,10 @@ LLMs are most useful for naming and explaining intent:
- summarizing README and code context into clearer ability descriptions
- suggesting merges or relinks when deterministic names are too generic
LLM output remains candidate material. It should cite source paths and be reviewed
or explicitly auto-approved by a trusted mode before becoming approved registry
truth.
LLM output remains candidate material. It should cite source paths and be
reviewed by a human or configured agentic reviewer before becoming approved
registry truth. Deterministic checks can block or flag weak candidates; they do
not approve them.
## Trial Repo Observations