Figma: view. comment. mirror.

Figma: view. comment. mirror.

Figma, Inc. · Image

Figma AI adds an agent, prompt-to-app prototypes, and image and text tools to Figma's design canvas. AI credits are pooled for the team, and every seat gets a monthly allowance.

Interface preview of Figma: view. comment. mirror.

About Figma: view. comment. mirror.

What Is Figma

Figma is a browser-based UI design software that teams use to build interfaces, prototypes, and design systems in one shared file. Figma AI is the layer of AI features built into that canvas, so the assistant works on the same components and styles your team already owns.

You describe what you need, and the agent drafts screens, edits images, renames messy layers, or turns a design into a working prototype. Nothing gets exported to a separate tool. For plenty of teams, that makes it the default AI design tool rather than a plugin somebody remembers to open.

The constraint is credits. Every AI action draws from a shared pool, and prototyping burns through an allowance much faster than a few text rewrites do.

Getting Started

  1. Create a free Figma account or sign in, then open a design file or start a new one from your drafts.
  2. Open the Figma agent from the toolbar and describe the screen, diagram, or edit you want in plain language.
  3. For a working prototype, open Figma Make, attach existing frames or components, and prompt for the app or flow.
  4. Refine the result in the properties panel, by prompting again, or in the built-in code editor, then share or publish it.

Product Information

A quick look at Figma: view. comment. mirror.'s pricing, supported platforms, and performance.

Free PlanYes
Paid Plans$0 - $55/mo per seat
PlatformWeb, Windows, macOS, iOS, Android
DeveloperFigma, Inc.
CategoryImage
Release DateJun 2024
Latest UpdatedJul 2025
Website Visits77M
Website Global Rank218
API AvailabilityYes

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Product designers
  • Product managers and founders
  • Developers

Tasks

  • Drafting early layout directions
  • Rewriting and translating interface copy
  • Cleaning up a messy file
  • Turning a design into a shippable page

Scenarios

  • A design review where three directions need to exist before the meeting starts.
  • A marketing team producing on-brand launch assets on a short deadline.
  • A solo founder validating an idea with a working prototype instead of a static mockup.

Key features

The Figma Agent

The agent lives inside your file and answers in plain language. Ask it to generate a screen, build a diagram, edit an image, or search your files. It draws on your team's components and styles, so the output tends to look like your product rather than a generic template.

Figma Make

Make is a prompt-to-app tool. Describe a flow, attach an existing frame, or point it at your codebase, and it builds an interactive app with real code underneath. You can preview it, edit visually, open the code, and publish it to a URL.

Code Layers

Code layers run working code on the design canvas next to your static frames. Convert a frame, import a repository, or capture a live site, then test real interactions without leaving the file. The feature is rolling out in open beta.

AI Image Editing

Make and Edit Image generates or changes visuals from a prompt, and Boost Resolution sharpens a small asset for a larger placement. Remove background, erase objects, and isolate elements cover the cleanup work that used to send designers into a separate editor.

AI Text Tools

Rewrite, translate, shorten, and adjust tone directly on selected text layers. It's the least glamorous part of the toolkit and probably the piece your team will touch every day.

AI Search and Layer Cleanup

Visual search finds similar designs across your files from an uploaded image, a selected area, or a text query. Layer renaming handles the naming debt that piles up in every long-running project.

Shared AI Credits

Every seat includes a monthly credit allowance, and teams can buy more or turn on pay-as-you-go. Admins see how credits are allocated and where they go, which matters once a few people start generating prototypes.

Pros and cons

Pros

  • The agent works on your existing libraries, so generated screens inherit your components and styles.
  • Figma Make returns a working prototype with real code, not a clickable picture.
  • The MCP server plugs Figma into Claude Code, Codex, and Cursor for design-aware code generation.
  • AI credits are pooled at the team level, and the free plan still gets a daily allowance.
  • Image and text tools sit in the same canvas, which kills the export-and-reimport loop.

Cons

  • Prototyping in Make drains credits fast, so busy teams end up buying more or enabling pay-as-you-go.
  • Output quality tracks the health of your file. Loose layers and missing components produce bland results.
  • Several capabilities are still in beta or open beta, including code layers and publishing Make files.
  • Seat-based pricing charges for every editor, even teammates who mostly comment on other people's work.

Frequently asked questions

Figma AI is the set of AI features inside Figma, including a conversational agent, the Figma Make prompt-to-app tool, code layers, and image and text editing. It runs on Figma's canvas instead of in a separate product.