What is Hermae AI?
Hermae AI is an innovative assistant designed to supercharge enterprise design systems by integrating artificial intelligence directly into your workflow. It increases development speed, reduces engineering onboarding headaches, and synthesizes vast amounts of documentation data in seconds through an embeddable AI widget. By converting Storybook documentation into Markdown and creating vector embeddings for Retrieval-Augmented Generation (RAG), Hermae provides large language models with the precise context of your design system, enabling accurate code generation and seamless collaboration.
Key features include the ability to convert design system docs into searchable embeddings, support for multiple context strategies such as local IDE context (e.g., Cursor), public examples (e.g., shadcn/ui), and design tool MCP connections (e.g., Figma MCP). This flexibility ensures that teams can leverage the best approach for their needs—whether it's exposing source code for IDE-based AI, tapping into abundant public usage examples, or extracting token values and screenshots from design tools. The result is production-ready frontend code that matches design specifications, reducing manual effort and errors.
Benefits include faster shipping cycles, reduced onboarding time for new engineers, and enhanced consistency across projects. Use cases range from rapidly prototyping new features to maintaining large-scale design systems with minimal overhead. Technical details: Hermae uses vector embeddings to store design system context, integrates with popular IDEs and design tools, and supports self-verifying systems to improve generation accuracy over time. It is ideal for teams using Storybook, Figma, or similar tools who want to harness AI without leaving their existing environment. By combining multiple context sources and advancing models, Hermae ensures that AI-generated code is both accurate and aligned with your design system's standards.
Use Cases
Key Features
AI powered design system assistant Storybook to Markdown conversion vector embeddings for RAG multiple context strategies IDE context integration Figma MCP connection production ready code generation documentation synthesisWho is it for?
frontend developers, design system engineers, UI/UX designers, engineering managers, product teams, enterprise design teams
