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Behavioral, Values & Why Cursor1 / 3

2 min lesson

Judgment with AI tools

Take "Judgment with AI tools" step by step, then finish with the result that proves it worked.

Step 1 of 3

This role is AI-native by design. The JD asks you to drive bug prioritization "at scale using agent-assisted tools," meaning you use Cursor and LLM agents to do the quality job. The behavioral round checks the flip side: that you reject bad output instead of pasting it.

Using AI hard and exercising judgment aren't in tension. The candidates Cursor wants do both at once - they let an agent cluster a hundred reports in seconds, then read the clusters, catch the one that merged two unrelated bugs and fix it before it misleads a prioritization call.

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Full explanation

Full explanation

Say it like this

"I had an agent cluster a backlog of ~400 reports. It folded two bugs into one cluster because both mentioned 'slow' - one was indexing latency, one was model timeout. I caught it on review, split them and only then did the priority ranking make sense. The agent saved me a day; I'm the one who decided which clusters were real."

Have one of these ready. A specific time you caught and rejected a bad AI output, with the reason, is worth more than any statement about your philosophy on AI.