AI-generated code can look polished and still be wrong. A model predicts likely text, and nothing in that process proves the code meets your requirements. It may invent an API or miss an edge case. It may also use an old library pattern or add a security weakness. Its generated tests can pass while checking the wrong behavior.
You stay responsible for any code you commit, so treat the assistant as a fast contributor whose work always needs review. Read the full diff, confirm unfamiliar APIs and run suitable tests, with extra care around authentication, user input and secrets. If you cannot explain a generated line or show how it was verified, it is not ready to merge.
Rewriting in plainer words…
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AI-generated code can look clean and still be wrong, because the model predicts likely text and nothing in that process checks it against your requirements.
In practice it can invent an API that doesn't exist, miss an edge case, use an old library pattern, or add a security weakness.
Even its tests can mislead me, since they can pass while checking the wrong behavior.
I'm responsible for anything I commit, so I treat the assistant as a fast contributor whose work always gets reviewed.
That means reading the full diff, confirming any unfamiliar API, running the right tests, and taking extra care around authentication, user input and secrets.
I still use it because it's fast, but if I can't explain a generated line or show how it was verified, it isn't ready to merge.
Weak answers to avoid
Says AI code is bad, so just avoid itThat sounds out of date and dodges the question. Say you use it, then describe how you check its output before it merges.
Lists failure modes but no verification processNaming hallucinations is only half. Interviewers want your process: read the full diff, confirm unfamiliar APIs, run tests, and look harder at auth, input and secrets.
Trusts green tests the assistant wroteGenerated tests can pass while checking the wrong behavior. Say how you confirm the tests match the requirement, not just the code as written.
Blames the tool when the code breaksYou own every line you commit. 'The AI wrote it' is a red flag; say you review its output like any contributor's code.
Interview lens
Likely follow-ups, what you can say, and the weak answers to avoid.
