Stop Reading AI-Generated Code. Start Verifying It.

There is a difference. It matters more than you think. Somewhere in your codebase right now, there is code an AI agent wrote. Maybe you reviewed it carefully. Maybe you skimmed it. Maybe you approv...

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Stop Reading AI-Generated Code. Start Verifying It.

Source: DEV Community

There is a difference. It matters more than you think. Somewhere in your codebase right now, there is code an AI agent wrote. Maybe you reviewed it carefully. Maybe you skimmed it. Maybe you approved the pull request because the tests were green and you had three other things open. This is not a problem to be solved by reading faster. It is a problem to be solved differently. The question worth asking is not "did I read this code?" The question is: "do I have sufficient evidence that this code is correct?" Reading is one way to gather that evidence. It is not the only way, and for AI-generated code at any meaningful scale, it cannot be the primary one. The Distinction That Changes Everything Reviewing code means reading it. You trace the logic, spot the edge cases, ask whether this is the right approach. It is slow, expert-dependent, and does not scale. Verifying code means confirming it is correct, by whatever means available. Review is one path to verification. Machine-enforceable co

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