12 Questions Every Developer Should Ask Before Merging AI-Generated Code

A software developer has shared a practical checklist of 12 questions to ask before approving AI-generated code, drawn from over a year of hands-on code review experience. The guidance highlights that AI tools tend to address the literal prompt rather than the underlying intent, which can produce code that passes tests yet solves the wrong problem. Key concerns raised include unverified assumptions about input data, missing error handling for external API calls, and incomplete authorization checks that confirm login but not resource ownership. The checklist also warns that error responses in AI-generated code can inadvertently expose sensitive system details, such as stack traces, in production environments. The author recommends reviewers trace edge-case inputs, read original tickets before reviewing diffs, and be able to explain each code block aloud before approving a merge.