Governance for AI coding agents at enterprise scale
Rosetta is open-source AI coding agent governance embedded into your engineering DNA. It compiles your engineering judgment into a single source of truth and delivers it consistently to every agent your teams use. So your standards scale persistently with headcount instead of drifting and fragmenting as you grow.
Enterprise-level AI coding agent governance is hard to keep in check. Every engineer builds their own prompts and rules. Architectural context lives inside senior engineers’ heads. Compliance constraints get ignored because the agent has no way to know they exist. Dozens or hundreds of engineers using different tools in different ways? Consistently enforced engineering standards disappear into the ether.
Five agent governance controls for 2X engineering productivity
With Rosetta, five mechanisms do the work:
- Rules enforce always-on engineering standards.
- Skills load specialized expertise on demand.
- Hooks apply non-negotiable guardrails.
- Workflows make agents ask before they assume.
- Subagents review and validate each other’s output.
The result is that you’re teaching agents how to think, not what to think. Agents now plan, build, review, and validate software according to your standards, architecture patterns, business constraints, security posture, and quality bar, without falling back on unjudicious fast-answer defaults.
Rosetta is agent-agnostic. It works across Cursor, Anthropic Claude Code, VS Code, Windsurf, JetBrains, GitHub Copilot, and any MCP-compatible IDE. No tooling standardization required.
Rosetta also never sees or processes your source code. Instructions load in stages, calibrated to the current task, so agents get only what they need. Your context window stays lean, and your IP stays inside your perimeter.
Proven in production across multiple enterprise engagements, once requirements are aligned, we commonly see 2X productivity gains on brownfield applications, with higher returns on greenfield projects.
Apache 2.0 licensed. Available today on GitHub. Install with one command.
Watch the demo to see how it works. Schedule a call to discuss rollout.
