AI agents can now generate UI from design systems, but only if those systems are structured for machine consumption. An agent-ready design system requires five elements: machine-readable tokens, documented component APIs, design-to-code parity between Figma and code, usage rules encoded in machine-readable form, and a mechanism to feed context to the agent (MCP server, agents file, or routing). Without these, agents produce drift at scale. A practical six-step path is outlined: export tokens to structured files, achieve Figma-code parity, document component props inline, encode usage rules as automated checks, connect a context method, and assign an owner to prevent drift. Common mistakes include relying on screenshots, assuming shared context, confusing UI kits with design systems, and skipping enforcement.

6m read timeFrom headway.io
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Table of contents
What is a design system for AI agents?Why do agents need this more than people do?What makes a design system agent-ready?Who owns keeping it agent-ready?How do agents actually get your design system?How do you make your system agent-ready?Common mistakesWhere to start
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