In this video, I walk through the latest updates to FigmaLint, an AI-powered Figma plugin for auditing design system components, improving accessibility, and preparing designs for developer handoff and AI code generation.
This release focuses on making design system context more reliable before it reaches engineering or automation workflows.
What’s covered in this demo:
• Multi-provider AI support (Claude, OpenAI, Gemini)
• Component analysis for states, properties, and accessibility
• Design token detection and hard-coded value cleanup
• Auto-fix tools for tokens, naming, and properties
• AI-generated component documentation with comparison
• Readiness scoring and AI interpretation
• Export formats for developer handoff (Markdown, JSON, AI prompts)
• Context-aware design systems chat
The goal isn’t to replace designers or developers.
It’s to reduce friction between design, AI, and code by making component metadata, tokens, and documentation actually usable.
If you’re working on design systems, design-to-code pipelines, or AI-assisted development, this workflow is designed for you.
🔗 Try FigmaLint
https://www.figma.com/community/plugi...
📦 Open Source Repository
https://github.com/southleft/figmalint
If you have feedback, feature requests, or ideas for improving this, I’d love to hear them.