Figma Make vs v0 is the comparison non-designers hit once they realize both tools turn plain English into working UI — but produce very different results. Figma Make generates React/Next.js code inside Figma, using your design system and tokens. v0 by Vercel generates React components styled with Tailwind CSS and shadcn/ui from a standalone prompt interface. Both promise prompt-to-UI. Neither delivers a production-ready app on its own. The right pick depends on whether you have existing designs and how much visual consistency matters.
This post compares the two head-to-head — what each handles, where each stops, and how to decide which fits your situation.
What Figma Make offers non-designers
Figma Make is Figma’s built-in AI that turns text prompts or existing Figma designs into working React/Next.js applications. You describe a screen — “a settings page with a profile form and notification toggles” — and Make generates code that references your Figma design tokens: colors, spacing, typography, component states. The output looks like your brand, not a generic template.
A few details that matter:
- Design system awareness. If you have a Figma file with defined components and variables, Make uses them. Buttons, inputs, and cards match your existing styles.
- Backend connection. Make integrates with Supabase for database reads, writes, authentication, and storage. You describe data structures in natural language and Make scaffolds them.
- Deployment. Generated apps deploy to Netlify or publish through Figma Sites. The pipeline is preconfigured.
- Starting point flexibility. You can generate from a blank prompt or point Make at an existing Figma design and ask it to produce code.
Make stays inside Figma. For teams that already use it, the workflow is familiar. For solo founders with no existing designs, the learning curve is steeper than expected — you need at least a basic Figma file to unlock Make’s strongest advantage.
What v0 offers non-designers
v0 by Vercel is a standalone prompt-to-UI tool. You open v0.dev, describe what you want, and v0 generates React components styled with Tailwind CSS and shadcn/ui. No Figma account, no design files, no local environment. The free tier gives you 200 monthly generations; the premium plan is $20/month for unlimited use.
What makes v0 distinct:
- Zero prerequisites. You need a browser and an idea. No design system, no repository, no local tooling.
- Component-level generation. v0 excels at individual UI components: navigation bars, pricing tables, dashboards, forms, hero sections. Each is a self-contained React component.
- Chat-based iteration. You refine in conversation. “Make the sidebar collapsible” or “change the accent color to blue” — v0 adjusts without regenerating from scratch.
- Vercel deployment. One-click deploy to Vercel hosting. The generated code uses Next.js conventions, so the deployment path is native.
- Export to codebase. You can download the full project with proper folder structure and open it in any editor.
v0’s trade-off is visual identity. The output uses shadcn/ui defaults — clean and professional, but generic. Without manual customization, your app looks like every other v0 app.
Figma Make vs v0: side-by-side comparison
| Figma Make | v0 by Vercel | |
|---|---|---|
| Setup | Figma account. Best with existing design files. | Browser only. No prerequisites. |
| Cost | Free within Figma (usage limits on AI generation). | Free tier (200 credits/month). $20/month for unlimited. |
| Starting point | Existing Figma designs or text prompts. | Text prompts only. |
| Output | React/Next.js using your design tokens. | React/Next.js using Tailwind + shadcn/ui. |
| Visual identity | Matches your brand and design system. | Generic shadcn/ui defaults unless customized. |
| Backend | Supabase integration built in. | No backend. Frontend components only. |
| Deployment | Netlify or Figma Sites. | Vercel (one-click). |
| Best for | Teams with Figma designs who want code that matches. | Founders who need UI fast from a blank slate. |
Signs you should choose Figma Make over v0
Figma Make is the stronger choice when your situation looks like this:
- You have a Figma design system — or even a few polished screens — and want the generated code to match.
- Visual consistency matters because you are building a product with an established brand, not a throwaway prototype.
- You need a database from the start. Make’s Supabase integration gives you persistence and basic auth without leaving the tool.
- A designer on your team already works in Figma and wants to generate functional prototypes without handing off to developers.
- You plan to build a full application, not just a single component or landing page.
Make’s advantage is fidelity. The generated code looks like your designs because it reads your tokens. No other prompt-to-app tool does this.
Signs you should choose v0 over Figma Make
v0 is the stronger choice when these conditions apply:
- You have no designs, no Figma files, and no design system. You are starting from zero and want something visible in minutes.
- You need a single component or a handful of screens, not a full application. v0 generates focused pieces faster than Make.
- Speed matters more than brand consistency. You want to test a concept, show a co-founder, or mock up an idea for a pitch deck.
- You are comfortable with Tailwind CSS and shadcn/ui, or you plan to hand the output to a developer who is.
- You want to deploy on Vercel and stay within that ecosystem.
v0’s advantage is speed from nothing. No setup, no prerequisite files, no environment. Describe and receive.
Symptoms that appear with both Figma Make and v0
Regardless of which tool you choose, the same engineering gaps emerge once real users arrive. Watch for these:
- Data entered in forms disappears after a page refresh because persistence is missing or incomplete.
- Authentication works for sign-up but breaks on sign-in, password reset, or session expiry.
- The app runs fine in one browser but breaks in another — neither tool tests across environments.
- Performance drops noticeably when more than a few users interact at the same time.
- Adding a new feature breaks a feature that previously worked, and there are no tests to catch it.
- An investor or technical advisor asks who maintains the code and how you handle errors, and you pause.
- The generated code has grown large enough that you can no longer follow its structure or predict the effects of changes.
- Deployment works locally or in preview but fails in production with environment variable or build configuration errors.
These are not tool failures. They mark the boundary where UI generation ends and engineering begins. Both Figma Make and v0 produce the same artifact: a frontend that handles the happy path for one user in one browser.
Checklist: Figma Make vs v0 for your project
Use this to decide which tool fits your current situation:
- You have Figma designs. Figma Make. It reads your tokens and generates code that matches your brand.
- You have no designs at all. v0. Describe what you want and get a component in seconds.
- You need a database. Figma Make. Supabase integration is built in. v0 generates frontend only.
- You need one component, not a full app. v0. It generates focused, self-contained pieces.
- Brand consistency matters. Figma Make. v0 uses generic defaults.
- You want the fastest possible path to a visible prototype. v0. Zero setup, instant output.
- Your team already uses Figma. Figma Make. The workflow stays in the tool your team knows.
- You plan to deploy on Vercel. v0. The deployment path is native.
- You need to show a working demo in 48 hours. Either tool works. Choose Figma Make if you have designs; choose v0 if you do not.
- Users report bugs and data loss. Neither tool alone. You need engineering help.
When neither Figma Make nor v0 is enough
Both tools accelerate the earliest phase of building. Neither replaces the engineering that follows. The gap between a generated prototype and a reliable product is the same regardless of which tool produced the UI.
The generated code is a legitimate starting point. The work is to stabilize it: wire proper authentication, add server-side validation, build error handling for the flows users depend on, set up automated tests, and create a deployment pipeline that catches regressions before production.
At Spin by Fryga, we step into AI-generated and vibe-coded projects at exactly this point. We audit the generated code, shore up the critical paths — data persistence, auth, error handling, deployment — and hand back an app that ships reliably. Whether you started in Figma Make, v0, or both, the stabilization work is the same: turn a promising prototype into a product that holds up under real use.