150 Interest Score
10 Discussions
0.07 Engagement
Oct 2025 Launched

Kody is an open-source agent with deep knowledge of your architecture, business rules, and compliance standards. It aligns with your org policies, adapts to your stack, enforces team rules, and runs on any model you choose.

What the Community Said

Hey Product Hunt! 👋 Kodus team here! We launched Kodus about 10 months ago. It took us a while to come here (part nerves, part wanting to make sure we were truly solving something meaningful for engineering teams). But the time has come 🙌 We believe the biggest challenge in AI isn’t generating more code — it’s ensuring that code reaches production with quality and security. To give you an idea: about 60% of AI-generated code has quality issues. Today, teams are buried under a flood of PRs, compl

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Congrats on launch! Love the focus on getting safe code to prod, not just more code. Open source, choose-any-model, and policy-based reviews are spot on. Tech debt tracking and Jira or Notion context are huge. How does Kody handle monorepos?

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Open source AI code review - that's the right move. Devs won't trust closed-box AI with their codebase. How are you handling false positives? That's usually where automated code review gets annoying - flagging things that are intentional.

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This looks super useful! I’ve seen how tricky code reviews can get when things move fast. Love that Kodus is open source and helps teams stay aligned without slowing them down. Great job to the team, excited to try it out!

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We’ve tested a ton of AI review tools, and most just dump generic comments. Kodus is different, it learns our architecture and applies our own rules. It caught edge cases that even senior reviewers missed. Review time dropped by 60%, and the devs actually like using it. This is the first AI code review tool that feels production-ready.

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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