Stream AI generated Shadcn components, not just text.
shadify is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view CopilotKit/shadify --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
shadify is a design/UI tool for AI-assisted frontend work. It is useful when a team wants to move from design context or natural-language requirements into clearer UI assets, components, workflows, or implementation guidance without losing human review.
shadify focuses on a practical part of the AI-native frontend workflow: Stream AI generated Shadcn components, not just text. It can help teams shorten the path from prompt, design system, or Figma/browser context to reviewable UI output. Treat it as an acceleration layer rather than an automatic production gate: generated code, tokens, or design decisions should still be checked for accessibility, responsive behavior, maintainability, and license fit.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 62 days ago.
255 GitHub stars indicate community interest.
4 open issues signal maintenance load.
MIT license detected.
Turn UI requirements or design context into more concrete frontend output
Give AI coding agents clearer design-system constraints
Speed up component, layout, or workflow prototyping
Review generated interfaces before implementation or handoff
Review generated UI/code before production use
Check the repository license and maintenance status before commercial adoption
Avoid sharing private design files, credentials, or customer data with agent workflows unless access controls are in place
Use shadify to help me build a production-ready React/Tailwind UI for a developer tool. Keep accessibility, responsive states, and design-system consistency in scope.
255
Stars
21
Forks
4
Issues
MIT
License
Extract any website's complete design system with one command.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
Stream AI generated Shadcn components, not just text.
Frontend developers, Design engineers, AI coding agent users
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Review generated UI/code before production use Check the repository license and maintenance status before commercial adoption
Similar or complementary options to evaluate include design-extract, Argos, uSpec.
Jul 11, 2026
3 security/trust notes recorded.
Setup difficulty is 2/5.