Design

Running preflight checks for Figma AI build sessions

AI performs setup checks before editing a file by verifying MCP connectivity, permissions, and that styles, variables, and components are loaded, creating a reliable baseline for the session.

Why the human is still essential here

Humans remain responsible for access, setup, and interpreting whether the workspace and references are correct before letting AI modify production design files.

How people use this

MCP connection verification

AI confirms that Claude Code is authenticated to the Figma MCP server and can access the intended file before starting any build actions.

Claude Code / Figma MCP

Library availability audit

AI checks that required shared libraries, styles, variables, and components are loaded in the file so generated edits can reference the correct assets.

Claude Code / Figma MCP / Figma

Write-permission and target-file check

AI verifies that it has edit permission and is working in the correct draft, branch, or duplicate file before making changes to the canvas.

Claude Code / Figma

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Expert UI designer specializing in visual design systems, component libraries, and pixel-perfect interface creation. Creates beautiful, consistent, accessible user interfaces that enhance UX and reflect brand identity

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Latest community stories (1)

How-To

Medium

How to make Claude Code follow your design system in Figma

Claude Code can now write directly to the Figma canvas through Figma MCP.

You describe an interface in natural language; it builds it. Visually, the result can be pixel-perfect. But click into any layer and you’ll find `#5C6AC4` where `color/brand/primary` should be, `14` where `text/body-sm` is defined, a freshly minted one-off component where an existing Button instance is sitting right there in the library.

Sen LinSr Product Designer @Worldline

May 8, 2026