Figma Make is transforming the design and development landscape with its groundbreaking AI capabilities. Introduced during Figma’s Config 2025 event, this powerful tool redefines how teams build interactive prototypes by converting natural language prompts and static frames into fully functional, editable code.
By bridging the gap between design and production, Figma Make empowers designers, developers, and product teams to iterate faster and build smarter.
What is Figma Make?
Figma Make is a next-generation prototyping solution that integrates AI-driven code generation directly within the Figma ecosystem. Unlike conventional prototyping tools that rely on static wireframes or animation flows, Figma Make generates production-level components—allowing teams to test, validate, and deploy real experiences without switching platforms.
How Does it Works
From Text to Production Code
The core innovation of Figma Make lies in its ability to turn natural language instructions into live, editable frontend code. When a user inputs a prompt like “A login form with Google SSO and error handling,” Figma Make’s AI engine:
- Interprets the prompt using a fine-tuned large language model trained on over 18 million design-code pairs
- Generates React or Vue components with TypeScript and CSS-in-JS
- Automatically infers states such as loading, success, and error by referencing design patterns from the Figma Community and Material Design
This process cuts initial development time by over 70%, making it an ideal solution for MVPs and rapid testing.
Intelligent, Contextual Iteration
Figma Make enhances design iterations by integrating visual and code elements:
- Designers can link Figma frames as references for smarter code output
- Interface elements can be edited on the fly using a point-and-click UI
- Brand consistency is maintained with auto-application of design system libraries
With built-in contextual awareness, teams ensure code fidelity without manual styling or extensive QA.
A Built-in Development Environment
Figma Make comes with an embedded development environment tailored for collaborative design-engineering work.
Real-Time Code Preview and Editing
Key IDE features include:
- Live code rendering with hot-reloading
- Familiar syntax support for JSX and Vue Single File Components
- Git integration for version control and seamless collaboration
This removes the need for excessive design-to-dev handoff meetings, reducing development friction by up to 40%.
Expanding to Full-Stack Prototypes
Figma Make is also evolving into a full-stack tool. Upcoming features include:
- Supabase integration for backend functionality (auth, database)
- API endpoint generation based on OpenAPI specs
- Direct deployment pipelines to platforms like Vercel and Netlify
These features position Figma Make as an all-in-one solution for startups, internal tools, and fast-moving product teams.
Figma Make vs. Traditional Prototyping Tools
| Feature | Figma Make | Traditional Tools (Figma Proto, Adobe XD) |
|---|---|---|
| Output | Functional code | Static wireframes |
| AI Integration | Text-to-code with refinement | Basic animation or transitions |
| Collaboration | Simultaneous design & dev editing | Comment-based feedback only |
| Design System Integration | Auto-application of style libraries | Manual linking required |
Figma Make outperforms traditional prototyping tools by enabling live coding, seamless team collaboration, and deep AI support—all within the design environment.
Comparison with Low-Code Platforms
Unlike visual builders like Webflow, Figma Make offers:
- Seamless integration with existing Figma projects (no imports/exports)
- Transparent code generation with developer control
- Enterprise-ready features like team roles, versioning, and API access
Its focus on developer-centric flexibility makes Figma Make a scalable solution for both startups and enterprise design teams.
Usage Statistics and Pricing
Since its beta release in May 2025, Figma Make has gained strong traction:
- Over 1.3 million prototypes generated within 3 months
- 64% adoption among Figma Organization-tier users
- Prototypes average 23 interactive components
Pricing Tiers
| Plan | Access to Figma Make | Key Benefits |
|---|---|---|
| Professional | Limited access | Basic AI code gen, 10 monthly deployments |
| Organization | Full access | Advanced refinement, 50 monthly deployments |
| Enterprise | Premium AI capabilities | Dedicated GPU clusters, SLA-backed support |
At just $45/user/month under the Organization plan, Figma Make is more cost-effective than most standalone low-code tools, with tighter integration and deeper design flexibility.
Challenges and Considerations
AI Model Training Ethics
Figma has faced concerns regarding:
- Use of public design files for AI training without opt-in
- Unclear ownership of AI-generated components
To address this, Figma is implementing:
- Filtering mechanisms to exclude private data
- Provenance tracking to differentiate AI-generated code from manual inputs
Technical Limitations
Current constraints include:
- Limited support for native mobile (iOS/Android) outputs
- Complex animations still require manual overrides
- AI latency of 2–7 seconds for complex outputs
Figma plans to introduce WebAssembly-based previews and expanded animation training by late 2025 to overcome these barriers.
What’s Next?
Roadmap Highlights
- Jira integration: Automatically create sprint tasks from prototype changes
- FigJam to Make conversion: Generate working dashboards from whiteboard sketches
- Template marketplace: Launching a Make-specific App Store for the community
Industry Impact
Figma Make supports three major trends in product development:
- Designer-led development – Designers building real product features
- Hybrid roles – The rise of “design engineers”
- Earlier user testing – Functional prototypes ready in days, not weeks
By enabling real-code experiences earlier in the product lifecycle, Figma Make transforms how companies innovate and launch.
Final Thoughts
Figma Make represents a fundamental shift in how digital products are built. It turns ideas into working code with the ease of a conversation, merging creativity with engineering precision. As the tool continues to evolve, it will likely reshape team workflows, redefine roles, and set a new standard for AI-integrated design platforms.
