I built ReviewIQ because technical interviews don't always test whether you can actually review c...I built ReviewIQ because technical interviews don't always test whether you can actually review c...
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I built ReviewIQ because technical interviews don't always test whether you can actually review code.
ReviewIQ is an AI-powered code review interview trainer built for software engineers.
You pick a role, language, and seniority, then get a realistic PR diff with bugs intentionally planted in it.
You write your review.
Then the system grades it against the actual bugs, shows what you caught, what you missed, and gives you feedback on how a stronger reviewer would approach it.
The interesting part was building the grading system so it isn't just "AI thinks your answer is good." The bugs have a known ground truth, so the review can be evaluated against something concrete.
Built with Next.js, Supabase, PostgreSQL, OpenAI, and Lemon Squeezy.
I'm interested in building more products where AI isn't just a chat box, but an actual part of the product experience.
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Rohan's avatar
The known-ground-truth approach is a great product decision—it makes the feedback feel earned rather than like an opaque AI verdict. I also like that the flow tests the actual review skill instead of rewarding pattern-matching in interviews.
Anas's avatar
Exactly. That was one of the main things I wanted to solve. A lot of AI interview tools end up feeling like “the model says you did well,” which isn't very useful. Having the planted bugs as ground truth makes the feedback much more concrete. I’m curious whether you think the...
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