How to Stay in Control When AI Writes Your Code

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A developer perspective published on DEV Community argues that reviewing AI-generated code requires more than checking if it works — engineers must be able to explain the logic, failure points, and long-term impact of every change. The author proposes a layered review process that starts at the expression level and expands outward through functions, files, dependencies, and project decisions. At each layer, reviewers are advised to identify unclear concepts and test their understanding against the actual codebase rather than generic documentation. The author notes that passing tests alone do not confirm a developer's grasp of boundary conditions, data flow, or newly introduced coupling. To support this approach, they are building a tool called Unvibe, designed to help developers select code, choose explanation depth, ask follow-up questions, and retain key concepts over time.

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