ai-workflowAnswer last reviewed July 2026

Tell me about your testing strategy when the assistant wrote the code.

A strong answer gets correlated blind spots, that the generator can't be the only author of its own verification, and builds the tests around independence

What an AI-prepared candidate might say

I always ask for tests along with the implementation, and then I review both. The tests need to cover the main functionality, the edge cases, the error handling. I add whatever cases the model missed, especially around boundaries. Everything runs locally before it goes into a PR, and then CI runs the full suite again anyway. One thing I do check is whether the tests assert meaningful behavior, because generated tests sometimes only check that a function returns something. Coverage tools help me confirm the new code is actually exercised. The bar is the same as for human code, really. If the tests wouldn't catch a regression they're just decoration, so I make sure they genuinely pin down the behavior.

Senior
Locked

The independence rule, assertions that come from the spec instead of the implementation, and the sixty-second break-the-code trick that outs a vacuous suite.

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Staff
Locked

Keeping a test suite honest once generation scales up, why coverage inflates, what mutation-style sampling actually tells you, and where property-based testing earns its complexity.

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Tell me about your testing strategy when the assistant wrote the code. | NodeBook