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<pclass="hero-tagline">Control plane for AI coding agents. Governs behavior, packages proven workflows, and delivers consistent engineering quality across your entire organization.</p>
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## What Rosetta Solves
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Modern AI coding agents require externalized, persistent context to maintain stable behavior across sessions and tasks. Creating and maintaining this context is typically manual, error-prone, and slow. Rosetta automates the initialization and ongoing maintenance of AI coding agent context for new and existing codebases — providing agent rules, skills, workflows, sub-agents, and instructions as explicit, versioned artifacts, managed centrally via MCP so teams across the organization can share and evolve agent context consistently.
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- Fragmented adoption and inconsistent execution across teams and tools.
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- Missing business and technical context in day-to-day AI-assisted development.
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- Weak governance, low visibility, and avoidable risk in AI-enabled SDLC.
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## Benefits By Role
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<divclass="grid">
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<articleclass="card"><h3>Engineers</h3><p>Get productive faster with standardized batteries-included flows, HITL gates, and automatic adaptation to different coding agents and stacks.</p></article>
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<articleclass="card"><h3>Managers</h3><p>Maintain one common instruction foundation with project-level extensions, lower maintenance overhead, and stronger quality consistency.</p></article>
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<articleclass="card"><h3>Directors</h3><p>Operate with governance at scale, usage visibility, and curated knowledge management that stays current and reusable.</p></article>
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<articleclass="card"><h3>VP / Leadership</h3><p>Demonstrate delivery value, cost efficiency, and risk reduction while preserving flexibility for the changing AI landscape.</p></article>
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<articleclass="card">
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<h3>For Developers</h3>
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<ul>
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<li>Persistent, externalized agent context to keep behavior consistent across sessions</li>
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<li>Automatic setup of agent rules, workflows, and coding conventions per project</li>
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<li>Reduced manual prompt crafting and trial-and-error when switching tasks or repos</li>
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<li>Explicit, versioned context that can be inspected, diffed, and updated</li>
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<li>Shared context across teammates to avoid agent behavior drift</li>
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</ul>
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</article>
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<articleclass="card">
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<h3>For Managers</h3>
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<ul>
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<li>Security — no code is transferred, only rules</li>
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<li>Standardized AI agent behavior and centralized management of agent instructions</li>
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<li>Reduced onboarding time for new engineers and new codebases</li>
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<li>Clear ownership and evolution of AI development practices</li>
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