
Figma AI
AI features inside Figma.
About Figma AI
Figma AI isn't a single feature you switch on. It's an agent that lives on the canvas, plus a set of connected products that pass design context between each other. The Figma agent can generate new design directions, create diagrams, edit images, search your files and give design feedback. Figma Make takes prompts or existing Figma designs and turns them into prototypes and web apps. Figma's MCP server and the new "Write to canvas" capability push your design system into outside agentic tools, so those tools build from your real components instead of guessing. Everything draws from a shared pool of AI credits that your team buys pay-as-you-go or on a subscription.
The loop Figma is selling runs from codebase to pull request. You connect your existing code, share a PRD, prompt new functionality or edit the design directly, bring the work back to the canvas for critique, then create a pull request from Figma Make to ship it. That's a big claim, and parts of it are still in beta. "Make on your local codebase" is marked Beta, and so are Shaders. Still, the direction is clear: Figma wants design files to be the source of truth that both people and agents work from.
Around that core sit smaller tools that are honestly fun. Generative plugins let you describe a plugin and have the agent build it right on the canvas, then share it across your org. Figma Weave tools bundle AI models into pre-built workflows for images, vectors and video. Shader prompts give you custom blurs, mesh gradients and patterns from a sentence. If your team already lives in Figma, this is the lowest-friction way to add AI to your design process. If you don't, you're buying into a whole product family to get it.
Key features
Figma agent
You can work with an on-canvas agent to generate and remix designs, create diagrams, edit images, search files and get design feedback.
Figma Make with codebase connection
Figma Make turns prompts and existing designs into prototypes and web apps, and the Beta local codebase mode lets you create a pull request straight from Make.
MCP server and Write to canvas
Figma's MCP server and Write to canvas feed your design system into agentic tools so they create and modify Figma content using it as the source of truth.
Generative plugins
You describe the functionality you need and the Figma agent builds a reusable plugin on the canvas that's shareable across your organization.
Figma Weave tools
Weave packages AI models into pre-built creative workflows for generating and editing images, vectors and video inside Figma.
Shared AI credits
Your team shares a credit pool on pay-as-you-go or subscription, with admin visibility into how credits are allocated and used.
Best for
- product teams already designing in Figma
- design system owners feeding AI coding agents
- PMs prototyping features from a PRD
- teams that want custom internal plugins without writing code
Skip if
- teams that don't use Figma, since the AI only pays off inside its product family
- anyone needing a stable codebase-to-PR pipeline today, since local codebase support is still Beta
- heavy generators on tight budgets, since usage burns shared AI credits on top of the plan
Pros & cons
Pros
- The agent works on the canvas you already use, so there's no export step to get AI help on real files.
- The MCP server and Write to canvas make your design system the source of truth for outside coding agents.
- Generative plugins are a clever shortcut: describe the tool, get a shareable plugin for the whole org.
- Creating a pull request from Figma Make shortens the handoff between design and engineering.
- Admins get full visibility into how AI credits are allocated across the team.
Cons
- Several key pieces, including Make on your local codebase and Shaders, are still labeled Beta.
- AI is metered through credits on top of your seat plan, so heavy use adds a second line item.
- Capabilities are spread across Make, Weave, Buzz, Sites and the core editor, which makes it hard to know where a given AI feature lives.
- The source doesn't say which AI models power the agent or Weave, so you can't judge output quality before trying it.
Pricing
| Tier | Price | Includes |
|---|---|---|
| Paid plans | From $15/mo | Access to Figma's paid design products, with AI features drawing on team AI credits |
| AI credits | Pay-as-you-go or subscription | Shared team credit pool with admin control and visibility over allocation and usage |
Frequently asked questions
How much does Figma AI cost?
Paid plans start at $15/mo per the listing. AI usage then runs on shared credits you buy pay-as-you-go or through a subscription to save.
Can Figma AI ship code to production?
Yes, Figma Make can create a pull request against your connected codebase. That local codebase mode is Beta, so expect rougher edges than Figma Design.
How is Figma Make different from v0 by Vercel?
v0 starts from a prompt, while Figma Make can start from your existing Figma designs and design system context. If your source of truth lives in Figma, Make has the edge.
Does Figma AI work with Cursor or Claude Code?
Figma's MCP server and Write to canvas are built to pass design context into agentic tools. The page says you can connect Figma to your favorite agentic tools, though it doesn't list every supported integration.
What are Figma Weave tools?
Weave is Figma's set of pre-built AI workflows for generating and editing images, vectors and video. Think of it as Figma's answer to Adobe Firefly, but built into the Figma canvas.
How Figma AI compares
Figma AI vs v0 by Vercel
v0 is faster for code-first UI generation, but Figma AI wins when your design system and files already live in Figma.
Figma AI vs Framer AI
Framer is the simpler pick for publishing marketing sites, while Figma AI covers more of the product design to pull request loop.
Figma AI vs Canva Magic Studio
Canva suits quick on-brand marketing visuals for non-designers, whereas Figma AI is built for product teams shipping software.
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