Figma Make is the other half of Figma's AI strategy. While the Design Agent creates visual designs on the canvas, Make turns those designs (or written descriptions) into working code — functional prototypes you can click through, share, and test with real users. It's Figma's answer to v0, Bolt.new, and every other prompt-to-code tool that's emerged in the past year.
Make is also Figma's most controversial feature. When it works, it saves days of prototyping effort. When it doesn't, it burns through credits on output you can't use. Understanding when to use it — and when to use alternatives — is the key to getting value from it.
Key Takeaway
Make works best for simple-to-medium complexity prototypes: landing pages, single-screen apps, and component demos. It struggles with complex multi-step flows, conditional logic, and stateful interactions. Use Make for exploration and stakeholder demos, not for production code. And write specific prompts — every regeneration burns credits you can't recover.
What Can Figma Make Actually Do?
| Input | Output | Quality Level | Best For |
|---|---|---|---|
| Text description only | Working prototype from scratch | Good for simple, variable for complex | Quick concept testing |
| Existing Figma design | Code version of your design | Good — uses visual design as reference | Design-to-code translation |
| Design + text instructions | Interactive prototype with behavior | Best — visuals + interaction spec | Stakeholder demos |
The best workflow: design the screen visually first (with the Design Agent or manually), then use Make to turn it into a working prototype. This gives Make two sources of context — your visual design AND your text instructions — producing higher-quality code than either input alone.
Credit Cost Reality: What Nobody Tells You
Make is the most credit-expensive Figma AI feature. The costs scale with complexity in ways that aren't immediately obvious:
| Prototype Type | Credits Per Generation | Typical Iterations | Total Cost |
|---|---|---|---|
| Simple landing page | 10-20 | 1-2 | 20-40 credits |
| Single-screen app | 20-40 | 2-3 | 40-120 credits |
| Multi-screen flow | 50-80 | 3-4 | 150-320 credits |
| Complex app with state | 80-100+ | 3-5 | 240-500+ credits |
The "typical iterations" column is the hidden multiplier. The first generation rarely produces exactly what you need. You adjust your prompt, regenerate, review, adjust again. Each iteration consumes credits at the same rate. A "50 credit" prototype easily becomes a "200 credit" prototype across 4 iterations.
This is why writing specific, detailed prompts matters so much for Make specifically. Every regeneration you avoid saves credits directly. The free Prompt Optimizer adds the structure that reduces iterations — and unlike Make, it costs zero credits to use.
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| Tool | Reads Figma? | Code Quality | Cost Model | Best For |
|---|---|---|---|---|
| Figma Make | Yes (native) | Good for demos | Credits (expensive) | Design-to-prototype |
| v0 (Vercel) | No | Better (React/Next.js) | Free tier + subscription | Text-to-code |
| Bolt.new | No | Good (full-stack) | Free tier + subscription | Full-stack apps |
| Claude Code via MCP | Yes (via MCP) | Best (production-ready) | $20/mo subscription | Production code |
| Cursor | Via plugins | Best (production-ready) | $20/mo subscription | Code-first development |
The honest recommendation: use Figma Make for stakeholder demos where the Figma design integration matters. Use v0 or Bolt.new for quick standalone prototypes where you don't need Figma integration. Use Claude Code or Cursor for production code — their output quality is significantly higher than Make's for anything beyond simple pages.
5 Tips to Get More from Figma Make
1. Start with a visual design, not just text. Make produces better code when it has a Figma design as reference. Design the screen first (even roughly), then feed Make both the design and text instructions. Two inputs > one.
2. Specify the technology stack. "Build this in React with Tailwind CSS" produces different (and usually better) output than leaving the tech choice to Make. Be explicit about framework, styling approach, and any libraries you want.
3. Describe interactions, not just layout. "When the user clicks Submit, show a loading spinner for 2 seconds, then display a success message" is much more useful than "add a submit button." Make can generate interactive behavior, but only if you specify it.
4. Break complex projects into screens. Don't prompt "build my entire app." Prompt "build the login screen" → review → "build the dashboard" → review. Sequential single-screen generations produce better quality than one massive multi-screen prompt.
5. Use the Prompt Optimizer first. Before spending credits on Make, run your prompt through the free Prompt Optimizer. A restructured prompt with explicit context, constraints, and specifics reduces iterations and saves credits directly.
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Subscribe free →Frequently Asked Questions
Is Figma Make the same as Figma Sites?
Related but different. Make generates prototypes (for testing and demos). Figma Sites publishes websites (for production). Make output is functional but not production-ready; Sites output is intended for real deployment. Think of Make as prototyping and Sites as publishing.
Can I export Make code and use it in my project?
Make produces working code, but it's optimized for demonstration, not production. The code quality is sufficient for prototyping and stakeholder demos but typically needs significant refactoring for production use. For production code from Figma designs, use Claude Code via the MCP server.
Is v0 better than Figma Make?
For standalone code generation: often yes — v0 produces cleaner React/Next.js code and uses a subscription model instead of credits. For design-to-code (using your Figma file as input): Make is better because it reads your design system. They serve different starting points: v0 from text, Make from Figma designs.
Should I learn Make or learn to code?
For designers who want to prototype without coding: Make provides immediate value. For designers who want to build production features and have a deeper understanding of implementation: learn code + use Claude Code. Long-term, coding skill is more versatile and career-valuable than Make proficiency.
What's the credit cost of a realistic prototype?
Budget 100-300 credits for a multi-screen prototype with 2-3 iterations. Simple single-page prototypes may cost as little as 20-40 credits. Complex apps with navigation, state, and conditional logic can easily exceed 500 credits across multiple rounds of generation and refinement.
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