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AI coding agents often produce code that looks good but still needs manual review. I’ve been exploring whether multiple independent LLM reviewers can do better than having the same model review its own code. I built CodeJury, a small harness with AI judges focused on correctness, security, architecture, testing, performance, and overall quality. Would you use this alongside your coding agent? I’d love honest feedback, criticism, and suggestions. ⭐s appreciated!
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About codejury on Product Hunt
“Teach your coding agent your codebase once”
codejury was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #6 on the daily leaderboard. AI coding agents often produce code that looks good but still needs manual review. I’ve been exploring whether multiple independent LLM reviewers can do better than having the same model review its own code. I built CodeJury, a small harness with AI judges focused on correctness, security, architecture, testing, performance, and overall quality. Would you use this alongside your coding agent? I’d love honest feedback, criticism, and suggestions. ⭐s appreciated!
codejury was featured in Open Source (68.7k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 154.5k products, making this a competitive space to launch in.
Who hunted codejury?
codejury was hunted by krish agarwal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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krish agarwal