A step-by-step guide for how to kill the line-by-line code review
The article discusses reimagining code review workflows by delegating line-by-line verification to AI agents while keeping decision-making authority with humans. It argues that current AI code review implementations reverse this balance, asking models to judge quality and leaving humans to rubber-stamp results. The piece outlines an intent-driven review framework with acceptance criteria and invariants as foundational layers, ensuring AI operates within organizational standards while humans retain accountability for engineering decisions.
Key points
- AI should verify code; humans should judge whether changes align with intent and standards.
- Agents lack context about codebase standards and can't be held accountable for decisions.
- Intent-driven review uses acceptance criteria and invariants as dual verification layers.
Summary and key points written by AI from the headline and a short excerpt, so they can be incomplete or wrong. The New Stack did the reporting; read the original for the full story.
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