What is Hermae AI?
Hermae was an AI assistant for enterprise design systems that aimed to accelerate product shipping by integrating design‑system knowledge into language models. It converted Storybook documentation into Markdown and generated vector embeddings for retrieval‑augmented generation, providing developers with contextual understanding of component APIs.
The approach enabled local IDE context, public example integration, and Figma MCP connections to retrieve design tokens and screenshots. By combining these methods, teams could generate front‑end code, pull design values, and perform self‑verifying checks.
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Hermae AI's key features
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Convert Storybook docs to Markdown
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Generate vector embeddings for RAG
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Local IDE design system context
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Public design system library integration
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Extract screenshots and tokens via Figma MCP
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AI generates production frontend code
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Integrated into everyday development tools
Hermae AI use cases
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Automate conversion of Storybook docs to Markdown and embed them for instant IDE search, accelerating component adoption in enterprise design systems.
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Integrate Figma token data via MCP to auto‑generate front‑end code snippets, ensuring consistent styling and reducing manual coding.
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Leverage AI‑driven design verification to compare component renders against design specifications, catching discrepancies before they reach production.
Who is it for?
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Frontend developers
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Product designers
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Data analysts
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Enterprise system engineers
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Business stakeholders