KodHau: Senior Context for AI Agents

What it does

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.

KodHau MCP gives your AI agent the tribal knowledge of your team: PR history, design decisions, and review comments your senior engineers never documented.

Before your agent writes a single line, KodHau MCP injects the tribal knowledge of your team: architecture, design decisions, constraints, rejected approaches, and review comments your senior engineers never documented. KodHau scans closed PRs for architecture decisions, code review comments, rejected approaches, and diff context — the decisions your team made but never documented. One tool: kodhau_get_wisdom . Your agent gets constraints, architecture decisions, and tribal knowledge for that exact file and function — before it touches anything. KodHau is an MCP server that runs locally. Your code and PR data never leave your machine. Compatible with any client that supports the Model…from kodhau.vercel.app

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