KodHau: Tribal Knowledge for AI Agents
Your AI agent doesn't know what your senior engineer knew.
52 followers
Your AI agent doesn't know what your senior engineer knew.
52 followers
Before your agent writes a single line of code, KodHau MCP injects the tribal knowledge of YOUR dev team — architecture decisions, constraints, rejected approaches, and review comments that were never documented. We tested on dotnet/runtime repo, one of the most complex repos. Cursor alone said "yes, you can delete it." Cursor with KodHau surfaced 3 PRs explaining exactly why that would break prod. One tool. Runs locally. Your code never leaves your machine.
This is the 2nd launch from KodHau: Tribal Knowledge for AI Agents. View more
KodHau
Launching today
KodHau MCP gives your AI agent the tribal knowledge of your team: PR history, design decisions, and review comments your senior engineers never documented.
Free Options
Launch Team / Built With
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 🚀
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
@vikramp7470 thank you Vikram! That's the pain point I faced myself. So before KodHau touches any code, it pulls the PR where your team debated and rejected that refactor - the reasoning your senior engineer never wrote documented.
nFactorial AI
Congrats on the launch, Zhasulan!
Very impressive!
@suleimenov thank you Arman! 🙏
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
@codewithriza Thank you so much!🙏 That's exactly it — the current code is the what, while discussions of engineers around the code is the why
nFactorial AI
Congrats on the Launch, Zhasulan!
@yuriy_kimm thank you, Yuriy!