Developer Builds AI Feedback Rules to Limit Scope Creep in Code Reviews

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A software developer working on AIDD Skeleton, an open-source repository template for AI-assisted development, experimented with giving an AI implementation agent more autonomy to investigate and respond to code review findings. While broader investigation improved the agent's ability to spot related issues, it also risked expanding the scope of work indefinitely. To address this, the developer introduced a framework called Coherent Correction, which separates the investigation boundary from the modification boundary, allowing the agent to explore widely without being authorized to act on everything it finds. A four-way triage system — Accept, Reject, Defer, or Observe — was added so that valid findings could be logged without automatically expanding the current task. The developer also began treating each correction as a new surface for adversarial review, recognizing that fixes can introduce fresh problems that require their own scrutiny.

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ProgrammingDEV Community ·

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