The article warns that naively running AI code review-fix loops often fails to produce quality improvements, as AI reviews lack consistency, encourage scope creep, and can introduce new defects through hallucinations. A quick experiment showed defect counts increasing with each successive review-fix iteration.
Background
As AI coding assistants become mainstream, many teams are experimenting with automated review-fix loops to improve code quality. This article cautions that without proper guardrails, such loops can degrade rather than improve outcomes.
- Source
- Lobsters
- Published
- Aug 26, 2026 at 01:42 AM
- Score
- 5.0 / 10