Design to code tools compared: converters, visual editors, and AI agents

There is no single most recommended design to code tool, because the tools do three different jobs. Converters turn a Figma frame into code. Visual editors change the code of the app you already run. AI agents and app builders write code from a frame or a prompt. Choose by where the code has to end up, since a file that matches the frame can still fail review. Each kind maps to one of the four routes from a design to a pull request.

Key takeaways

• Design to code tools do three jobs. Converters export a Figma frame as code, visual editors change the app you already run, and agents and app builders write code from a frame or a prompt.
• Production-ready is a property of where the code lands, not of the export. Code that matches the frame can still fail review with a second Button and raw hex values.
• Using your own components often takes a higher plan. Locofy and Builder.io Visual Copilot need Enterprise, and Figma Code Connect allows one library and one framework on Professional. Someone has to keep any component map current.
• Lovable and Figma Make push only to repositories they create, so their code still has to move into yours. v0 and Bolt can import your repo, and v0 opens a pull request on it.

Converters, visual editors and AI agents: three kinds of design to code tools

Converters turn a Figma frame into HTML, CSS, React or another framework. The code arrives as an export, and someone moves it into the repo.

Visual editors open your running app. You change it with design controls, and the tool writes the change into your existing code.

AI agents and app builders start from a frame, a screenshot or a prompt. An agent such as Claude Code works inside your repo. App builders such as Lovable start a new repo, though v0 and Bolt can import yours.

Three questions separate them: is the code accurate to your codebase, does it use your existing components, and does it reach your GitHub repo?

Maybe you are the designer fifteen engineers wait on, in a Next.js and Tailwind codebase. Your head of product has asked which design to code tool the team should buy. You have probably tried a Figma plugin export that came back from review with hardcoded values, and an agent with the Figma MCP server that built a second Button.

Design to code converters

For a static page, a converter is the right tool, and the repo-aware tools below add little. The hand-fix pass after a conversion still applies.

Anima

Anima's plugin lets designers "generate code directly from the plugin" in React, Vue, Tailwind, Next.js, HTML and CSS. For your own components, "you would need to use Frontier" (Anima), its VS Code extension, which "matches Figma components with corresponding elements in your codebase" (Anima docs).

Locofy

Locofy "replaces your Figma components with your actual custom component code and wires the correct props automatically" (Locofy docs). That is on Enterprise, "not available on monthly self-service plans (Free, Hobby, Pro)". GitHub sync is on Enterprise too (Locofy docs).

Builder.io Visual Copilot

Visual Copilot outputs React, Vue, Angular, Svelte, Qwik, HTML or Tailwind from a Figma design (Builder.io). "Builder.io is transitioning from manual component mapping to Component indexing" (Builder.io docs), and "Running index-repo requires an Enterprise plan" (Builder.io docs).

FigmaToCode

FigmaToCode, open source under GPL-3.0, can "Generate responsive pages and apps on HTML, Tailwind, Flutter and SwiftUI" (GitHub). Its default mode "often generates layouts using position: absolute" (GitHub).

Which plan uses your own components

Locofy needs Enterprise, as do Builder.io Visual Copilot's code indexing and UXPin's Git integration. UXPin's Storybook needs Growth, and Kombai's Storybook indexing needs Team. Figma Code Connect starts on Professional, with one library and one framework.

Visual editors that edit your codebase

These tools write each change into the code of the app you already ship. The React visual editor checklist covers what to ask. Paper sits beside this group: "your agents can sync design tokens, styles, and components between your codebase and your canvas" (Paper).

Builder Code

Builder Code, called Fusion until September 2026, works from "your components, tokens, and usage patterns" and packages work "into branches and pull requests" (Builder Code). It supports React, Next.js, Vue, Svelte and Angular.

Onlook

Onlook "writes the underlying TypeScript directly back to your code" (Onlook). Its Apache 2.0 repo says "We are focused on making it work well with Next.js and TailwindCSS for now" (GitHub). The hosted version is a closed beta.

Subframe

Subframe's macOS app "reads and writes local files" as "a coding agent with a canvas", with first-class React and Tailwind support (Subframe, Subframe docs).

Cursor Design Mode

In Cursor's Design Mode you "click an element, draw on the page, or describe a change by voice" (Cursor docs). The app runs in Cursor's browser, and every visual change is an agent edit. Its cloud agents push to a branch and "produce merge-ready PRs" (Cursor docs).

Modeinspect

Modeinspect places your team's running app on a canvas, in a cloud environment. You edit layout, spacing, type, fill, border and radius in the design panel, or drag the team's React components onto the canvas. Click Apply, and the coding agent writes the code. Paste a Figma frame, drop it on a live page, and the coding agent builds it in. Changes leave as a pull request on GitHub.

It works on Next.js React codebases that use Tailwind. Tokens from the Tailwind theme are offered in the design panel, not enforced. A pasted Figma frame is a starting point: component instances arrive as plain layers, not linked to the team's code components, and Figma variables do not become tokens.

AI design to code tools: agents and app builders

Claude Code or Cursor with the Figma MCP server

Claude Code "stages changes, writes commit messages, creates branches, and opens pull requests" (Claude Code docs). With the Figma MCP server, it or Cursor's agent reads a frame's design context and writes the files. It needs a checkout of the repo and a Figma account. The call limit follows the plan of the team that owns the file, as the Figma MCP setup guide explains.

Kombai

"Kombai consistently reuses components, tokens, and hooks from your repo, npm package, or Storybook" (Kombai). It runs in your IDE or as a desktop app, and "You can import Figma designs into Kombai via its native integration" (Kombai). Committing stays with you.

v0

v0 imports a GitHub repo, and "v0 creates a pull request if the branch does not have one" (v0 docs). Figma import is on paid plans (v0 docs).

Bolt

Bolt imports an existing repo and commits each change, but "You need to merge branches in GitHub" (Bolt). Its Figma import "uses Anima" (Bolt).

Lovable and Figma Make

They start their own repo. "Git sync always creates a new repository" (Lovable docs), and "Figma Make only pushes to repositories it creates" (Figma Help). Both suit prototypes, covered in AI prototyping tools and the problems they solve.

How to map components between design and code

A tool learns that a Figma component is your Button in one of four ways:

• A published map. Figma Code Connect, or Locofy's custom components on Enterprise.
• An index of the repo. Builder.io's component indexing and Kombai find the components themselves.
• A rules file. Instructions in the repo tell the coding agent which components to use.
• No map at all. In a visual editor, the canvas already renders the app's own components.

A mapped Figma component becomes an import of your component, with its props. An unmapped one often becomes a new component file with raw hex values and pixel sizes.

+import { Button } from "@/components/ui/button";
+<Button variant="primary" size="sm">Save</Button>

1+export function PricingCard() {
+  return (
2+    <div className="rounded-[12px] bg-[#F4F4F5] p-[24px]">

Nobody keeps the map current for you. Your team sets up and publishes Code Connect maps, so every new component or renamed prop needs an update. A Figma Forum thread reports mappings that "are not being recognized by Figma MCP" (Figma Forum). Builder.io is moving off manual mapping. Tokens drift the same way, covered in the design tokens guide.

How designers can see which components exist in the codebase

Storybook's design integrations help you "discover existing components to reuse", and Storybook Connect embeds stories in Figma once your Storybook is on Chromatic (Storybook docs). The Figma MCP server's search_design_system tool "Searches all connected libraries" so "your agent can reuse what already exists" (Figma docs). Those are Figma libraries, not your repo. A visual editor that runs your app shows the components the code renders.

We hear this on our calls with customers: a design system owner wants an agent that says a component already exists before anyone builds a second one.

Which design to code tool gives accurate front-end code?

If accuracy is the requirement, choose a tool that reads the codebase. Production-ready is a property of where the code lands, not of the export. A converter can match the frame to the pixel and still hand an engineer a second Button, a hex color and a class named after a Figma layer.

Accurate front-end code is the code your team would have written. It imports the existing component with its props, uses your theme's classes and touches only the changed lines. We hear the token side of this on our calls with customers: when the Figma file has fallen behind the code, anything exported from it fights the team's tokens.

The tools that read the codebase are the visual editors on your repo and the agents working in it with Code Connect or a rules file. A converter gets there only through a map or a repo index. Figma's docs say its MCP server's "job is to give your agent design context, not production-ready code" (Figma docs). In 2025, Erez Cohen compared Locofy, Anima, v0 and UXPin on DEV Community and concluded that, for enterprise-grade projects, "these products aren't quite there yet".

Test on your own codebase, not a demo: make one small change on a screen you ship and read the diff.

1+export const Frame482 = () => (
2+  <div className="p-[32px] rounded-[12px] border">
3+    <p className="text-[#71717A] text-[14px]">Pro plan</p>
+  </div>
+);

function CardContent({ className, ...props }: React.ComponentProps<"div">) {
  return (
    <div
−      className={cn("p-6", className)}
+      className={cn("p-8", className)}
      {...props}

What to use instead of UXPin for accurate front-end code

For accurate code in the repo you already have, use a visual editor that writes into it, an agent such as Claude Code, or Kombai for Storybook components. UXPin Merge lets you "Import React or Web components from any Git repository" or connect a Storybook (UXPin). Its Forge exports "Production-ready JSX referencing components from your library", and the ways out are "Copy it, open in CodeSandbox, or export it" (UXPin Forge). Canvas alternatives to UXPin are compared in Figma alternatives for product teams that ship code.

Design to code tools for React and GitHub workflows, compared

Of the fourteen, six reach your existing GitHub repo, three edit your local checkout, and five hand you an export.

Which design to code tool to pick

• A static page. Run a converter and fix the output by hand.
• A Figma design system, and engineers on agents. Publish Code Connect maps and run Claude Code or Cursor with the Figma MCP server. Plan time to keep the maps current.
• A React app that already ships. Use one of the visual editors above that fits your framework and Git host.
• Components in Storybook. UXPin Merge or Kombai can read them.
• A prototype or a new app. v0, Bolt or Lovable, with Lovable's code moved into your repo later.

This week, pick one screen your team ships. Make the same small change in two of these tools, such as new spacing on a card. Read both diffs. Count the new components and the raw hex or pixel values in each, and show both counts to your engineers.

Frequently asked questions

What is the most recommended design to code tool?

There is no single design to code platform for every team, because the tools do different jobs. For a static page, a converter such as Anima or FigmaToCode is enough. For a React app you already ship, pick a visual editor or a coding agent that writes into your repo, such as Builder Code, Cursor, Claude Code or Modeinspect. Choose by where the code has to land.

What are the best design to code tools available today?

The best design to code software depends on the job. Anima, Locofy, Builder.io Visual Copilot and FigmaToCode convert frames. Builder Code, Onlook, Subframe, Cursor Design Mode and Modeinspect edit an existing codebase visually. Claude Code, Cursor and Kombai write code in your repo, and v0, Bolt and Lovable build apps from a prompt. Compare them on component reuse and on whether the code reaches your repo.

Is there a free design to code converter or generator?

Yes. FigmaToCode is open source under GPL-3.0 and generates HTML, Tailwind, Flutter and SwiftUI. Anima and Builder.io also have free plans. Free output needs the same review as paid output, so check it for raw values and for components your codebase already has.

Can AI convert a design to code?

Yes. A coding agent such as Claude Code or Cursor reads a Figma frame through the Figma MCP server and writes the code in your repo. v0 imports Figma frames on paid plans, and Bolt uses Anima for its Figma imports. The AI sees only what the frame contains, so states, semantics and your component names still need a person or a map.

How do you map components between Figma and code?

Publish a map, or use a tool that reads your repo. Figma Code Connect links Figma components to code from the Professional plan, which allows one library and one framework. Locofy and Builder.io Visual Copilot offer mapping on Enterprise. Kombai indexes your repo, and visual editors on your codebase need no map. Someone has to keep a published map current.

How can designers see what components exist in the codebase?

Use Storybook, or a tool that opens the codebase. Storybook lists components with stories, and Storybook Connect embeds those stories in Figma when your Storybook is published to Chromatic. The Figma MCP server's search_design_system tool searches Figma libraries, not the repo. A visual editor that runs your app shows the components the code actually renders.

Which design to code tools work with React and GitHub?

Builder Code, Cursor's cloud agents, Claude Code, Modeinspect, v0 and Bolt reach an existing GitHub repo with pull requests or commits. Onlook, Subframe and Kombai edit React code in your local checkout. Locofy adds GitHub sync on Enterprise. Lovable and Figma Make push only to repositories they create, so their code still has to move into yours. Figma's closed beta of Make in your local codebase can open a pull request.

Is the code from a design to code tool production-ready?

Not on its own. Code becomes production-ready when it uses your components and tokens, follows your conventions and passes review. Figma says its MCP server gives design context, not production-ready code. Tools that write into your repo get closer, because they can reuse what the codebase already has. Read the diff before you trust any of them.