3 ways product designers use the Figma agent for craft, speed, and creative expression
Jenny Xie · 6 October 2026
Read the originalDesigners at Uber, Granola and Atlassian describe using Figma's AI agent to document components, collect review feedback and add motion, in a post Figma published for the agent's general release.
Jenny Xie, an editor at Figma, the design tool company, reports how three customer teams use the AI agent built into Figma. The post marks the agent's move out of beta. At Uber, the ride-hailing company, one designer now publishes component documentation in an afternoon, work that once took several people months.
- Uber's design systems team delivers components across seven platforms. Staff Product Designer Ian Guisard built agent skills that diagram a component's structure and map its colours to design tokens.
- The colour skill flags hard-coded values, and Guisard says it caught one that he had changed by accident.
- At Granola, which makes an AI note-taking app, Product Designer Paavan Buddhdev has the agent place feedback from meeting transcripts on the design canvas as annotations.
- Atlassian's motion design team turned animated illustrations into reusable library components. Custom animation made with the agent must still use the variables of Atlassian's design system.
A design systems team can write its documentation steps as agent skills and share them, so that any designer can run them on a component. This is an inference; the piece is Figma's account of its own product, and Figma chose the customer quotations.
Write the steps for documenting a component, such as diagramming its structure and mapping colours to tokens, as AI agent skills that any designer can run.
Have an AI agent add feedback from review meeting transcripts to the design file as annotations, so the designer can take part in the meeting.
Derived by Working Surface from the article; more in the Playbook. Source line: With the agent in Figma, skills run where the work already happens.
7 October 2026: once AI agents do most of the making, checking and choosing become the scarce steps, and teams protect them with author responsibility, automated checks and tools that point to risk.