tech / Figma and Anthropic Launch Code to Canvas to Bridge AI Coding and Visual Design

The partnership introduces a workflow that connects Claude Code and Figma's canvas, letting product teams bring AI-generated interfaces directly into a collaborative visual editing environment.

by Cody RodeoUpdated Feb 18, 2026 • 10:47 PM
Figma and Anthropic Launch Code to Canvas to Bridge AI Coding and Visual DesignImage generated by Google Nano Banana (Gemini 2.5 Flash Image)

Figma and Anthropic have partnered to launch Code to Canvas, a new feature that converts AI-generated interfaces built in Claude Code into fully editable design layers inside Figma. The feature is powered by the Model Context Protocol (MCP) and marks the deepest integration yet between a major agentic coding tool and a professional design environment.

Related / SpaceX Acquires xAI in $1.25 Trillion Merger to Build AI Data Centers in Space

The workflow is intentionally simple. While working inside Claude Code, a designer or developer types "Send this to Figma." The rendered browser state of the AI-built interface is translated into Figma design layers — complete, editable, and ready for team review. From there, product teams can refine layouts, compare variations side by side, and align on design decisions without ever leaving Figma's canvas.

The launch builds on an earlier January integration that brought Claude capabilities into FigJam for diagram generation, but Code to Canvas is significantly more ambitious — it tackles the core handoff problem between AI-generated code and human-driven design iteration that has been a friction point since agentic coding tools emerged.

Figma's stock responded positively, rising 4% on the announcement. The partnership also carries strategic weight for Anthropic, which is increasingly embedding Claude into enterprise workflows beyond pure conversational use cases. Having Claude Code natively connected to Figma's canvas — used by millions of designers and product managers globally — puts Anthropic at the center of a critical professional workflow.

The move reflects a broader truth about the agentic coding era: AI hasn't eliminated the need for design. If anything, it has accelerated the volume of interfaces being created, making the design review and refinement layer more essential than ever. For more on enterprise AI adoption trends, see our piece on enterprise AI reaching a tipping point.