Figma AI

Official entry point for the current agent, Make, and MCP positioning. Vendor speed and quality claims are not treated as measured outcomes.

Current public seat prices, included AI credits, plan capabilities, and MCP rate limits.

Per-seat allowances, fixed AI actions, approximate Make examples, reset rules, undo behavior, and the limits of estimating consumption in advance.

Current add-on-credit update and the transition of beta products into the shared credit pool. Public dollar prices for add-ons are not shown.

Access, rollout, language, plan, and seat context for Figma AI. Some high-level and detailed eligibility wording is not fully aligned.

Current generation, revision, component, variable, content, feedback, comment, connector, and visibility capabilities, plus unsupported actions.

Prompt-to-app workflow, attached designs, code-backed preview, focused edits, code editing, sharing, publishing, and copying a preview into design layers.

Starter and seat limits, publishing, code export, and the one-way boundary between copied Make previews and Figma Design.

Documented failure modes for large frames, complex conversions, attachments, context, model drift, frameworks, and preview behavior. It does not provide incident rates.

Official guidance on how model choice, task complexity, long context, templates, guidelines, and repeated groundwork affect credits.

Structured design context, write-to-canvas beta, seat permissions, read-only conditions, and future usage-based pricing context.

The official guide treats its structured React and Tailwind representation as a starting point that must be translated into the target project and validated.

Input and output treatment, customer rights, human review, content training, credits, expiry, pay-as-you-go, and warranty boundaries.

Third-party model-provider restrictions, temporary processing, content and usage data, and default training settings by plan.

General account, service, beta, rights, and responsibility terms that apply alongside the AI Terms and any separate agreement.

A 14-person academic team used Figma for seven menu wireframes and documentation, Unity and C# for the prototype UI, and a custom C++ engine for the final build, alongside more than 20 playtests.

A two-week redesign organized screenshots, the game loop, pages, and components in Figma, iterated with the development lead, and handed off page assets; empty space in an icon also caused an implementation mistake.

A small Unreal team used a Figma UI kit, atomic components, dedicated file pages, and a near one-to-one Figma-to-Unreal structure while validating the game through daily and external playtests.

An eight-person team reached alpha in eight months; a first-time game UI designer created the system in Figma and translated the approved screens into Unreal Engine 5 UMG and Blueprints.

The project kept multi-iteration, high-fidelity, mobile and desktop design in Figma, while functionality, responsiveness, and animation were implemented with Unity UI Toolkit and Timeline.

One developer reports that an agent could lay out a Unity Canvas from Figma context, while textures and asset extraction remained difficult and results depended heavily on layers, naming, components, and export settings.

A Figma-exported button texture produced blurry and unintuitive 9-slice scaling in UMG; the author used two Scale Boxes to obtain a clearer 4K result.

A product designer moving into games rebuilt Bloodborne components, styles, and variables and produced a large interactive prototype without Make. It is a promoted learning reconstruction, not a shipped game.

A validated organic review from an iOS development lead values inspect, asset export, and Auto Layout context, while warning that deep frame nesting can be copied into overly complex native view hierarchies.

A validated organic small-business review says Make helps people without design skills create interactive UI quickly, while also reporting hallucinations and difficulty restoring an older design.

Users describe impressive initial prototypes and potential, but also small edits triggering rewrites, unreliable rollback, changed component appearance or logic, and additional design-system and handoff cleanup. The older beta thread is counted as one record.

A user reports roughly four minutes to generate an 8×8 table, unintended placeholder changes, and one undo that did not restore the complete prior state; a Figma community representative asked for version-history details.

A product designer found screen-by-screen import and interaction explanation workable but tedious; a requested radio-button correction became a select control, reinforcing the need to review both design and code.

An anonymous user says an existing linear design of about 18 screens required roughly five hours of removing extra views, buttons, text, and icons before they gave up; the record is retained at low weight.