Suppose the AI tool gives you a working but messy solution early in the coding round. How would you spend the rest of your time?
culture-fit · Mid level · general
What the interviewer is really asking
Probes whether the candidate uses time freed by AI to demonstrate the higher-value engineering judgment the round is actually grading — tests, edge cases, readability, and defensible design — rather than declaring victory the moment the code runs.
What to say
- Treat 'it works' as the start, not the finish: invest the freed time in tests, edge cases, and making the code readable enough that a reviewer could maintain it.
- Walk through the generated code critically out loud, naming what you'd refactor and why, so the interviewer sees you can judge quality, not just generate it.
- Surface the trade-offs and limitations you'd note for a real PR, showing you'd hand off something a teammate could own.
What to avoid
- Stopping the moment it passes, treating a green run as proof you're done.
- Spending the remaining time gold-plating cosmetics while ignoring missing tests or untested edge cases.
- Leaving the messy code as-is because 'the AI wrote it,' as if quality isn't your responsibility once it runs.
Example answers
Strong: A working-but-messy solution is where the real work starts, not ends. I'd first read it critically and say what bugs me — maybe it duplicated logic or didn't handle an empty input — then refactor the worst of it so a reviewer could actually maintain it. With the rest of the time I'd write tests for the cases the happy path skips, because that's what catches the bug in week three, and I'd leave a short note on the one trade-off I'm aware of but didn't have time to address. Passing tests is the floor; defensible, maintainable code is what I'm actually demonstrating.
Weak: If it works and passes the tests, I'd probably say I'm done and use the extra time to double-check it runs again — no point over-engineering it.