2 min lesson
Demonstrating the AI-native mindset
Start at the first move in "Demonstrating the AI-native mindset" and carry it through to the proof.
Step 1 of 3
Cursor's loop is AI-native to an unusual degree. You'll likely build in Cursor live and the bar is the AI authenticity test: apply judgment to AI output, debug it, reject bad suggestions and never paste raw model output into the books.
Telling them you're AI-forward does nothing here. Everyone says it. The proof is a specific story and a fluent hands-on session, so prepare both.
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Full explanation
Be fluent in Cursor's own workflow
Be fluent in Cursor's own workflowyou may be building in it on the call
What to be comfortable doing live
- Agents
- delegate a multi-step task, then read and steer the plan rather than accepting it whole
- Codebase context
- point the model at the right files so it answers from your code, not its priors
- Edits & review
- accept, reject and refine proposed diffs deliberately - your review is visible and being graded
- Verify in the loop
- run the tests or the recon as you go, so correctness is continuous, not a final hope