rosetta

Engineering governance and context for AI coding agents — shared instructions, architecture, standards, workflows, and guardrails in every session.

What is Rosetta

https://github.com/user-attachments/assets/6df6e217-3e5c-4691-84ed-7440701a87de

AI coding agents are great — until you try to use them across a real team. Everyone builds their own prompts and instructions, knowledge stays in silos, and the agent — not knowing your architecture or constraints — guesses from a few open files and confidently does the wrong thing.

That's why we built Rosetta — open-source engineering governance and context for AI coding agents. It's not another proprietary agent; it works with the tools you already use (Claude Code, Cursor, Copilot, Codex, and other MCP-compatible agents) and loads your team's shared engineering instructions into every session. Everything is versioned in Git and can run inside your perimeter.

Teach agents how to think, not what to do. The model already knows Python and React; what it lacks is your engineering discipline. That's what Rosetta encodes.

Rosetta-guided work follows five phases — Prepare → Research → Plan → Act → Validate — with approval gates at the key decision points. Read more in the Usage Guide.

[!NOTE] If you are effectively using your current setup, writing your own skills, and managing AI using your own processes, you probably don't need Rosetta.

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