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Question
An AI assistant produced this query for a dashboard showing the average rating per restaurant. Product reports that some restaurants show suspiciously high averages, and a few new restaurants are missing from the list entirely.
SELECT r.id, r.name, AVG(rev.rating) AS avg_rating, COUNT(*) AS review_countFROM restaurants rJOIN reviews rev ON rev.restaurant_id = r.idWHERE rev.rating != 1GROUP BY r.id, r.name;What are the data-correctness problems here?
What a strong answer looks like
Treat the AI’s output as a draft to verify, not an answer to trust. Name the specific flaw and the input that triggers it, say how you’d catch it — tests, edge cases, reading critically — and how you’d re-prompt or decompose to get it right.
Learn the concepts
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.
Run or narrate your approach, then ask the coach.