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](USAGE_GUIDE.md#workflows). > [!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. ## [Top Workflows](USAGE_GUIDE.md#workflows)

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