AI coding tools are great for speed, but blindly trusting them leads to massive technical debt. Here is what I look for when reviewing pull requests to spot unverified AI code:
The hallucinated library: The code imports a package or uses a method that sounds incredibly logical but does not actually exist in the official documentation.
Over-explaining the obvious: The comments are flawless but completely redundant. They explain exactly what the syntax is doing instead of explaining why the business logic requires it.
Missing edge cases: The logic works perfectly for the happy path but completely falls apart if an API returns a 404, a timeout, or a null value.
It is perfectly fine to use AI to write the boilerplate, but the developer still needs to own the logic. Always verify before you merge.
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