What Is Design System Governance?
A practical guide to design system governance: what it is, who owns it, which workflows matter, which metrics to track, and how UI governance changes in the age of AI-generated UI.
Articles about design systems, AI tooling, and building better component libraries.
A practical guide to design system governance: what it is, who owns it, which workflows matter, which metrics to track, and how UI governance changes in the age of AI-generated UI.
Fragments is a design system governance platform for AI-generated UI. It helps teams govern components, tokens, MCP workflows, and design drift across the software delivery lifecycle.
How Fragments builds on Base UI components and adds accessible styling, design tokens, and metadata for larger-scale design system workflows.
A practical AI-native design system architecture for React teams: component docs, design tokens, metadata compilation, and MCP integration.
How to structure design system CLI workflows for component libraries so metadata builds, docs, AI tools, and CI checks stay in sync.
A practical architecture for combining a React component library with design tokens, component docs, and AI-ready metadata using Fragments.
How to evaluate an accessible React component library and how Fragments combines accessibility guidance, component docs, and AI-ready metadata.
Set up Fragments MCP in Claude so Claude can inspect real component metadata, props, and usage guidance before generating UI code.
Configure Fragments MCP in Cursor so AI can generate UI using your real component docs, props, and design tokens instead of generic markup.
Why AI hallucinates component APIs, why examples beat parameter lists, and what six research papers tell us about building design systems that AI can actually use.
Practical MCP tools for design systems workflows: how React teams use Fragments to query components and tokens, then check conformance through a hosted endpoint.
Context dumps go stale. Rules files get ignored when the AI is confident. Workflow configs live outside your repo and nobody updates them. Here's the pattern that actually enforces consistency.
A deep dive into the hosted Fragments MCP tools for primitive discovery, token lookup, deterministic fixes, and compliance proof loops.
AI can build apps, but the output is often inconsistent. Here's how Fragments makes your design system AI-native with MCP tools, structured fragments, and seed-based theming.