at 16I led 12 developers, worked as a team lead between teams in a venture studio – and we used AI agents for coding, but they kept breaking our production because they didn’t know what our team had already tried and rejected.
This is the knowledge problem. Tribal knowledge. Context about your codebase stays in people’s minds and in the discussion around the code – PR. Not in the docs or wiki. They are updated only when time permits.
codehow One mcp server who gives Your AI Agent reach you Team decisions, solutions and rejected approaches buried In Year Of GitHub PR history. Before your agent touches a line of code, CodeHow knows why the code is written the way it is by your engineers.
Proof: I used KodHau to fix an 8-month-old bug in Microsoft’s .NET Runtime, their major repo. Someone else has already tried to fix that problem – 200 lines of code, wrong approach, abandoned. Our determination was 7 lines. CodeHow traced this improvement to decisions made by Microsoft engineers 4 years ago. And the same applies for any repo.
2 minute setup. works with cursor, cloud code, Any MCP client.
Happy to answer questions about MCP, the GitHub API, or how Tribal Knowledge Injection works
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