Author argues teams should replace AI code review

The author argues that traditional code review is ineffective and carries too high a cost when applied to AI-generated code. Instead of relying on humans or other AI models to review generated code, teams should invest time in building custom static analysis tools and refining prompts to catch errors and enforce standards. Open article →