#032: In-System Design, from code to Figma and back
3 min read
I have a confession that does not go down well on LinkedIn right now. I can prototype in code with my real design system components, I enjoy it, and I still want to be on a canvas most of the time, because I like moving a block, looking at it, and putting three ideas next to each other.
The good news is that I no longer have to choose. A screen I prototype in code now goes to Figma as real library components, I pull it apart on the canvas, and it goes back to code without anyone redrawing a thing. That is part three of the series: In-System Design, from code to Figma and back.
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Start wherever the question is
Think of the AI as a hub in the middle, with code on one side and Figma on the other. As long as both sides use the same component names and properties, it does not matter where you begin, you just tell it where to build. The article walks through the two ways I work with this, step by step, with the prompts I actually use.

From code to Figma and back. I prototype a screen in code (I use Storybook, very beginner-friendly) with real components, then ask the AI to rebuild it in Figma with my library. On the canvas, I change text, move things, put three versions next to each other and talk it through with the team. Then it goes back to code, and anything that is not a real library component gets listed instead of quietly rebuilt.
Only Figma, no code setup yet. No design branch or Storybook MCP? That is most teams right now. You can still prototype directly in Figma with AI and your published library, and hand over something a developer reads as real components, not vibe-coded chaos.
What it does not replace
The handoff is still real. The design branch is a playground, never merged, and a developer still rebuilds the accepted parts properly with real data, states, tests and accessibility. The difference is that nobody has to reverse-engineer a picture anymore. The article ends with the three things I would ask my team for, out loud, in a meeting, and an honest list of what this does not solve yet.
None of this is an established workflow, mine included. But the question I find more useful than "should designers move into code" is whether the screen in front of you is made of your system. For the full step-by-step workflow, see the full article.
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You connect Figma and code with MCP, give an agent the context and skills it needs, check whether your own library is AI-ready, and build a Figma library from code (yes, code to Figma, not the other way around anymore). Then you learn how contracts keep both sides in sync, and you prototype with real components instead of lookalikes. I'll provide a sample codebase and guide you through it the designer's way to Figma and back.
You will not write code, but you will get comfortable reading it, and I will tell you which parts of this work today and which do not yet. AI moves fast, so the content may shift a little as new features land. Lifetime access, and lots of hands-on.
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