How I Build a Component Library in 2 days (Figma to Claude Code to Storybook)
Most teams already have components designed in Figma, what's missing is the code. Manual handoffs slow everything down. Designers spec it out, devs interpret it, back and forth until it's finally built.
My solution? Claude Code + Figma MCP + Storybook. Claude reads your Figma components directly, generates React code with Tailwind, and outputs a working Storybook component library.
What You'll Learn:
• How to set up Storybook with React and Tailwind from scratch
• Connecting Claude Code to Figma using Figma MCP
• Generating production-ready components directly from Figma designs
• Building a component library your devs can actually use
• When this workflow makes sense (and when to stick with manual handoffs)
If this is your first time setting up your claude code environment check out this how to video: • Claude Code + Cursor + GitHub: The New AI ...
Need help implementing AI workflows for your product team? Get started with 15% off your first month when you mention this YouTube video. https://designproject.io/
If you want the prompts fill out this form and we will email them over: https://tally.so/r/NpD0eW
Watch more like this:
• I Built My Entire Design System in 4 Hours With AI. Full Tutorial (Claude + Cursor + Figma): • I Built My Entire Design System in 4 Hours...
• I Tested Gemini 3 Pro vs Claude Opus 4.5 for UI Design (one is clearly superior): • I Tested Gemini 3 Pro vs Claude Opus 4.5 f...
• Stop Wasting Dev Time on Frontend: Figma to Code in 8 Minutes: • Stop Wasting Dev Time on Frontend: Figma t...
• The Complete AI Product Stack (8 Weeks to 2 Weeks Per Feature): • I Tested Every AI Tool for Product Teams. ...
• Figma Make vs Lovable vs V0 vs Claude Code: What We Actually Use in Production: • Figma Make vs Lovable vs V0 vs Claude Code...
• Figma is Dead (almost): • Figma is Dead (almost)
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About The Design Project:
We help B2B SaaS product teams ship faster by combining AI tools with strategic design expertise. We've worked with 50+ teams (including companies acquired by Slack, Nvidia, and MrBeast) to cut product cycles in half using battle-tested AI workflows and design systems.