Consulting control plane for AI coding agents
Your standards, versioned as code. Enforced across every agent and every IDE
Why AI Agents Need a Control Plane
AI coding agents are everywhere. Consistency and context are not.
Missed Conventions
Click to exploreAgents lack your architecture, business rules, and compliance requirements. They produce code that violates conventions, causing expensive rework and high rejection rates.
Instructions Don't Scale
Click to exploreEvery engineer writes their own prompts — or none at all. Crafting effective instructions takes hours of work per task, they go stale fast, and there's no way to version, review, or govern them.
No Cross-IDE Reuse
Click to explorePrompt libraries are IDE-specific and fragile. Switch from Cursor to Claude Code? Rewrite everything. New model drops? Start over. The same problem gets solved differently on every team.
Siloed Knowledge
Click to explorePatterns proven in one project never reach others. Senior expertise stays in people's heads. Breaking changes cascade undetected across services because agents see one repo, not the system.
Try Rosetta
Pick a scenario and see how Rosetta handles it step by step.
Select a scenario to start the demo
Get Started
Four steps to connect Rosetta to your IDE and start coding smarter.
Add Rosetta MCP to your IDE
Pick your editor. No local install needed — Rosetta connects over HTTP.
Cursor: Settings → Cursor Settings → MCP → Add new global MCP server or paste into ~/.cursor/mcp.json
Windsurf: add via MCP settings in IDE
{
"mcpServers": {
"Rosetta": {
"url": "https://rosetta.evergreen.gcp.griddynamics.net/mcp"
}
}
}
Run this command in your terminal:
$ claude mcp add --transport http Rosetta \
https://rosetta.evergreen.gcp.griddynamics.net/mcp
Run these commands in your terminal:
$ codex mcp add Rosetta \ --url https://rosetta.evergreen.gcp.griddynamics.net/mcp $ codex mcp login Rosetta
Add to .vscode/mcp.json or ~/.mcp.json:
{
"servers": {
"Rosetta": {
"type": "http",
"url": "https://rosetta.evergreen.gcp.griddynamics.net/mcp"
}
}
}
Go to Settings → Tools → GitHub Copilot → MCP Settings, add to ~/.config/github-copilot/intellij/mcp.json:
{
"servers": {
"Rosetta": {
"type": "http",
"url": "https://rosetta.evergreen.gcp.griddynamics.net/mcp"
}
}
}
Go to Settings → Tools → Junie → MCP Settings → + Add → As JSON:
{
"mcpServers": {
"Rosetta": {
"url": "https://rosetta.evergreen.gcp.griddynamics.net/mcp"
}
}
}
Add to your Antigravity MCP config file:
{
"mcpServers": {
"Rosetta": {
"url": "https://rosetta.evergreen.gcp.griddynamics.net/mcp"
}
}
}
Add to your opencode.json file:
{
"mcp": {
"Rosetta": {
"type": "http",
"url": "https://rosetta.evergreen.gcp.griddynamics.net/mcp",
"enabled": true
}
}
}
Complete OAuth
Your IDE will open a browser window to authenticate. Complete the OAuth flow when prompted.
Add Bootstrap Rule
Download bootstrap.md and add it to your IDE's instruction file. See Quick Start for file paths per IDE.
Verify & Initialize
Restart your IDE, then verify Rosetta is connected:
# "What can you do, Rosetta?"
Then initialize your repository:
# "Initialize this repository using Rosetta"
Without Rosetta vs With Rosetta
Real enterprise cases. Same task — different results.
- Started writing queries without understanding the full picture
- Missed cross-schema relationships and dependent services
- Ignored stored procedures, triggers, and legacy integrations
- Produced partial SQL that would break downstream on deploy
- Loaded both database schemas and mapped every relationship
- Identified all services and APIs depending on affected tables
- Found missing fields and web services that needed updates
- Discovered additional connections hidden in legacy COBOL code
- Assembled full end-to-end implementation with all dependencies resolved
- Scanned a few files and suggested a generic rewrite
- Missed Windows-specific dependencies and COM components
- Couldn't determine what to reuse vs replace
- Produced a vague spec — team still had to reverse-engineer the original
- Systematically analyzed every class, method, and dependency
- Mapped Windows components, libraries, and service boundaries
- Determined what to reuse, what to replace, and what to drop
- Created a target spec with interfaces, edge cases, and architecture decisions
- Spec so precise that developers could ask AI follow-ups and get exact answers
Key concepts, session lifecycle, three-layer architecture, workflow patterns, and everything else in one place.