The original title is "The Change Must Defend Itself: A Five-R Review for AI-Generated Code"

Short summary

The article proposes a Five-R Review framework—Reason, Reach, Reversibility, Resilience, and Reviewability—for evaluating AI-generated code before it reaches production. AI can produce syntactically correct implementations that still create system-level problems, such as retry storms or duplicate reservations. The framework shifts focus from 'does the code work?' to 'should this change exist, what can it affect, and can we safely reverse it?'

• •Five-R Review: Reason, Reach, Reversibility, Resilience, Reviewability for AI-generated code
• •Locally correct AI code can create globally incorrect system behavior
• •Implementation speed increases but the obligation to justify production changes remains

Generated with AI, which can make mistakes.