KodHau MCP gives your AI agent the tribal knowledge of your team: PR history, design decisions, and review comments your senior engineers never documented.
Hi Product Hunt! 👋 I'm Zhasulan, 17 y.o founder from Astana, Kazakhstan, builder of KodHau.
At 16, I led 12 developers, worked as Team Lead at a venture studio, across teams — and we used AI agents for coding, but they kept breaking our production because they had no idea what our team had already tried and rejected.
That's the knowledge problem. Tribal knowledge. Context about your codebase lives in people's heads and in discussions around the code - PRs. Not in the docs, or wikis. They get updated only when there's time.
KodHau is an MCP server that gives your AI agent access to your team's decisions, workarounds, and rejected approachesburied in years of GitHub PR history. Before your agent touches a single line of code, with KodHau it knows why the code is written that way by your engineers.
The proof: I used KodHau to fix an 8-month-old bug in Microsoft's .NET runtime, their flagship repo. Someone else tried fixing that issue already — 200 lines of code, wrong approach, abandoned. Our fix was 7 lines. KodHau found decisions Microsoft engineers made 4 years ago for this fix. And the same applies for ANY repo.
2-minute setup. Works with Cursor, Claude Code, any MCP client.
Happy to answer questions about MCP, GitHub API, or how tribal knowledge injection works 🚀
A lot of teams worry about prompt-injection and privilege leakage once agents start reading Issues/PR text—what design choices in KodHau reduce that risk, and what are the recommended permission/scoping defaults for GitHub tokens?
The knowledge problem is the biggest bottleneck for AI right now. I’m tired of Claude Code suggesting a refactor that we already tried and rejected three months ago in a PR. 😅 Having an MCP server that actually looks at why decisions were made is a massive unlock for team productivity. Support on the launch, @zhas_srk
Congrats on the launch bro
PR history as memory/context for AI agents is actually such a smart idea. Most AI coding tools understand the code, but not the reasoning behind the code or why certain approaches were rejected
Rooting for this one fr
About KodHau on Product Hunt
“Stop your AI from breaking prod-give it your team decisions”
KodHau launched on Product Hunt on May 8th, 2026 and earned 82 upvotes and 12 comments, placing #20 on the daily leaderboard. KodHau MCP gives your AI agent the tribal knowledge of your team: PR history, design decisions, and review comments your senior engineers never documented.
KodHau was featured in Developer Tools (512k followers), Artificial Intelligence (467.8k followers) and YC Application (38 followers) on Product Hunt. Together, these topics include over 159.6k products, making this a competitive space to launch in.
Who hunted KodHau?
KodHau was hunted by Zhasulan Serikbek. 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.
Want to see how KodHau stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zhasulan Serikbek
Hi Product Hunt! 👋 I'm Zhasulan, 17 y.o founder from Astana, Kazakhstan, builder of KodHau.
At 16, I led 12 developers, worked as Team Lead at a venture studio, across teams — and we used AI agents for coding, but they kept breaking our production because they had no idea what our team had already tried and rejected.
That's the knowledge problem. Tribal knowledge. Context about your codebase lives in people's heads and in discussions around the code - PRs. Not in the docs, or wikis. They get updated only when there's time.
KodHau is an MCP server that gives your AI agent access to your team's decisions, workarounds, and rejected approaches buried in years of GitHub PR history. Before your agent touches a single line of code, with KodHau it knows why the code is written that way by your engineers.
The proof: I used KodHau to fix an 8-month-old bug in Microsoft's .NET runtime, their flagship repo. Someone else tried fixing that issue already — 200 lines of code, wrong approach, abandoned. Our fix was 7 lines. KodHau found decisions Microsoft engineers made 4 years ago for this fix. And the same applies for ANY repo.
2-minute setup. Works with Cursor, Claude Code, any MCP client.
Happy to answer questions about MCP, GitHub API, or how tribal knowledge injection works 🚀