Figma adds code layers to collaborative design canvas

· Source: Dataconomy · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Figma announced a significant update on Wednesday, introducing a new code layer, support for motion and shaders, and the ability to create custom AI plug-ins. This builds on recent initiatives like Figma Make, an AI prompt-based prototyping tool, and integrations with Claude Code and Codex. The new code layers enable teams to clone repositories and extract workflows, fostering rapid iteration among designers, product managers, and programmers by focusing on idea exploration over production code quality. Additionally, the platform now directly supports animations, transitions, and 3D transforms, eliminating the need for external software conversions. Enhanced AI capabilities allow for asset creation with shader effects and fills, with future integration of Weavy workflows. The AI assistant will also gain new skills, connecting with tools like Notion, Granola, Excel, and GitHub for automated actions and custom plug-in generation.

Key takeaway

For product designers and AI engineers focused on accelerating design-to-development cycles, you should explore Figma's new code layers and AI capabilities. These features allow you to rapidly iterate on ideas without concern for production code, directly integrate complex animations, and automate tasks by creating custom AI plug-ins, significantly streamlining your collaborative workflows and reducing handoff friction.

Key insights

Figma's update bridges design and code workflows using AI for enhanced collaboration and rapid iteration.

Principles

Method

Code layers allow cloning repositories and extracting workflows from code to design, facilitating iterative exploration without focusing on production code quality.

In practice

Topics

Best for: AI Product Manager, Product Manager, Software Engineer, Product Designer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.