Figma to code has been a longstanding problem for frontend developers.
The traditional approach has always been manual and tiring. Developers inspect designs, measure spacing, copy colors, and recreate layouts by hand. It’s slow, repetitive, and error-prone.
Then came a wave of “Figma to code” tools promising automation. But it came with tradeoffs. You could have speed, or you could have quality. Never both. The generated code often felt bloated, rigid, or impossible to maintain.
That’s what led us to build Kombai. It creates clean, reusable, and production-ready code from your Figma designs. You don’t have to pick between speed and quality anymore.
Why is Figma to Code still not automated completely?
Auto layout ≠ web layout
Figma’s Auto Layout is brilliant for designers. It helps keep spacing, alignment, and resizing consistent. But it doesn’t behave like Flexbox or CSS Grid. What looks perfect in Figma can fall apart in code because Auto Layout doesn’t consider real-world constraints like max-width, flex-shrink, or clamp() behavior.
Most tools try to fill the gap by hardcoding absolute positions and pixel values. It technically “works” until you resize the screen, localize text, or wrap content dynamically. The visual result is fine, but the underlying structure is fragile.
Zero codebase context
Your project already has a Button.tsx component. It has your company's Modal, your custom data hooks, and your whole design system. The tools are oblivious to all of that. So when they generate code, they rebuild everything from scratch. You get a brand-new button instead of your team’s standardized one, often with inline styles and duplicated logic.
That’s the biggest problem: tools don’t understand context. Real-world codebases rely on shared components, design systems, and conventions. Without that awareness, generated code will always feel disconnected from the rest of your app.
Code idioms ignored
Frontend frameworks aren’t just about syntax. They come with conventions, patterns, and best practices.
For example, using Next.js's <Link> component instead of <a> isn't a mere preference. It's a core practice for performance. Likewise, properly typing your props in TypeScript is a standard for building error-prone components.
Those details might seem small, but they’re what make a codebase consistent and scalable. They’re also what most Figma-to-code tools miss completely. You’ll see components that break your styling conventions, ignore your ESLint configs, or skip type safety entirely.
Screenshots like behavior
A Figma file is just a snapshot. It shows how your UI looks, not how it behaves. You can see a dropdown, but not how it opens. You can see a card, but not how it animates on hover. That’s fine for design reviews, but when you start turning it into code, those missing details matter a lot.
Current Figma to Code tools see the visible UI and produce a direct, one-to-one translation into code. But they have no capacity to infer the behavioral logic hidden beneath.
How Kombai solves “Figma to Code”?
These challenges aren't just minor inconveniences. A truly effective Figma-to-code solution needs to think like a developer. It needs to understand context, semantics, and best practices.
This is precisely how Kombai is engineered to solve the problem.
- Understands design layout: Analyzes the design structure to generate the best layout.
- Reuse existing components: Intelligently reuses your existing components, props, and design tokens.
- Generates idiomatic code: Follows the best practices of your specific tech stack, like React, Mantine, and MUI.
- Captures real behaviour of the UI: Build interactive code implied by the design, not just static screens.
- Works with imperfect Figma files: Generate clean code without auto-layout, grouping, and variables.
Generates the best div structure
Instead of mechanically translating frames into divs, Kombai reasons through the layout the way a developer would: what is the logical structure here, and what’s the cleanest way to implement it? It evaluates hierarchy, alignment, spacing, and relationships to decide when to nest elements and how to express responsive behavior naturally.
Reuses existing components from your codebase
Kombai doesn’t rebuild your UI from scratch. It intelligently reuses what you’ve already built. When it detects elements that correspond to existing components like Button.tsx or Modal.tsx, it imports and integrates them directly.
It also maps props, event handlers, and naming conventions to match your system. As a result, the generated output aligns perfectly with your team’s established patterns and design tokens.
Generates idiomatic, human-like code
Kombai writes code the way experienced developers do. Whether your stack includes React with TypeScript, Next.js, TanStack Router, Mantine, or MUI, it adapts to your framework’s best practices. It handles props, hooks, and routing correctly while following established conventions for structure and naming.
The generated code is idiomatic, meaning it looks and feels right for your framework. Components are reusable, states are managed cleanly, and logic is separated from presentation.
This means you don’t have to “clean up” Kombai’s work. You can review, extend, and ship it as if you wrote it.
Captures real behavior, not static screens
Most Figma-to-code tools treat your design as a static picture. They can spot colors and borders, but not intent. Kombai goes deeper. It interprets the behavior implied by the design.
When it sees a button with a down arrow, it understands that you meant a dropdown trigger and generates the corresponding interactive component. When it encounters a magnifying glass next to an input, it recognizes a search field and generates a working search bar component.
Works with imperfect Figma files
Real-world Figma files are messy- misaligned frames, missing Auto Layouts, inconsistent naming. Kombai handles this gracefully. It reconstructs accurate hierarchy and spacing, interprets visual relationships even when structural data is incomplete, and ensures that the resulting layout maintains fidelity to the designer’s intent.
It also works fine when the design contains non-ideal patterns such as incorrect grouping, unintended layers, invisible elements, overlapping nodes, or accidental fills and shadows.
Building a responsive teams page using Kombai
I built a fully responsive Teams page in about 30 minutes, from two simple Figma files. Kombai handled almost everything. Layout interpretation. Component generation. Responsive structure. I didn’t write a single media query.
Code quality
Kombai’s generated code was functional and thoughtfully structured. The project had a clean component hierarchy.
No giant App.tsx dumping ground. Components like <AppSidebar />, <PromoCard />, <PaginationControls /> , and <NavigationTabs /> were modular and reusable, making the project easy to maintain and scale.
import { Tabs, Tab, useMediaQuery, useTheme } from '@mui/material';
interface NavigationTabsProps {
activeTab: string;
onTabChange: (tab: string) => void;
}
const desktopTabs = ['General', 'Details', 'Account'];
const mobileTabs = ['Details', 'Personal', 'Account', 'Profile', 'Security'];
export default function NavigationTabs({ activeTab, onTabChange }: NavigationTabsProps) {
const theme = useTheme();
const isMobile = useMediaQuery(theme.breakpoints.down('md'));
const tabs = isMobile ? mobileTabs : desktopTabs;
return (
<Tabs
value={activeTab}
onChange={(_, value) => onTabChange(value)}
sx={{
minHeight: 'auto',
'& .MuiTabs-indicator': {
height: '3px',
bgcolor: 'primary.main'
}
}}
>
{tabs.map((tab) => (
<Tab
key={tab}
label={tab}
value={tab}
sx={{
fontSize: '14px',
fontWeight: 700,
letterSpacing: '-0.08px',
textTransform: 'none',
minHeight: 'auto',
py: 1.5,
px: 2,
color: 'text.secondary',
'&.Mui-selected': {
color: 'text.primary'
}
}}
/>
))}
</Tabs>
);
}No hardcoded content. Kombai isolated all mock data into a dedicated file. I can tweak names, roles, and avatars directly in the data file without touching the JSX.
import { UserRole, UserStatus } from '@/types/enums';
import type { CurrentUser } from '@/types/schema';
export interface TeamMember {
id: string;
name: string;
username: string;
avatar: string;
status: UserStatus;
joinDate: Date;
lastActive: Date;
role: UserRole;
selected: boolean;
}
export const mockRootProps = {
teamMembers: [
{
id: '1',
name: 'Alice Smith',
username: 'alicesmith',
avatar: '/assets/avatars/alice-smith.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-12'),
lastActive: new Date('2026-06-25'),
role: UserRole.ADMIN,
selected: false
},
{
id: '2',
name: 'Bob Johnson',
username: 'bobjohnson',
avatar: '/assets/avatars/bob-johnson.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-11'),
lastActive: new Date('2026-06-25'),
role: UserRole.EDITOR,
selected: true
},
{
id: '3',
name: 'Clara Garcia',
username: 'claragarcia',
avatar: '/assets/avatars/clara-garcia.png',
status: UserStatus.OFFLINE,
joinDate: new Date('2025-01-11'),
lastActive: new Date('2026-06-25'),
role: UserRole.VIEWER,
selected: false
},
{
id: '4',
name: 'David Brown',
username: 'davidbrown',
avatar: '/assets/avatars/david-brown.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-10'),
lastActive: new Date('2026-06-25'),
role: UserRole.VIEWER,
selected: false
},
{
id: '5',
name: 'Emma Lee',
username: 'emmalee',
avatar: '/assets/avatars/emma-lee.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-09'),
lastActive: new Date('2026-06-25'),
role: UserRole.VIEWER,
selected: true
},
{
id: '6',
name: 'Frank Wong',
username: 'frankwong',
avatar: '/assets/avatars/frank-wong.png',
status: UserStatus.OFFLINE,
joinDate: new Date('2025-01-08'),
lastActive: new Date('2026-06-25'),
role: UserRole.EDITOR,
selected: true
},
{
id: '7',
name: 'Grace Taylor',
username: 'gracetaylor',
avatar: '/assets/avatars/grace-taylor.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-06'),
lastActive: new Date('2026-06-25'),
role: UserRole.ADMIN,
selected: false
},
{
id: '8',
name: 'Isabella Clark',
username: 'isabellaclark',
avatar: '/assets/avatars/isabella-clark.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-05'),
lastActive: new Date('2026-06-25'),
role: UserRole.ADMIN,
selected: true
},
{
id: '9',
name: 'X_AE_A-22',
username: 'xtheobliterator',
avatar: '/assets/avatars/x-ae-a-22.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-03'),
lastActive: new Date('2026-06-25'),
role: UserRole.ADMIN,
selected: true
},
{
id: '10',
name: 'Azunyan Senpai',
username: 'azunyansenpai',
avatar: '/assets/avatars/azunyan-senpai.png',
status: UserStatus.PAID,
joinDate: new Date('2025-01-02'),
lastActive: new Date('2026-06-25'),
role: UserRole.EDITOR,
selected: true
}
] as TeamMember[],
totalTeams: 118,
currentPage: 1,
totalPages: 10,
totalResults: 1000,
resultsPerPage: 100,
activeTab: 'Details' as const,
currentUser: {
name: 'Azunyan U. Wu',
role: 'Basic Member' as const,
avatar: '/assets/avatars/azunyan-wu.png'
} as CurrentUser
};Kombai also followed my chosen stack perfectly. Since I picked MUI v7 + Next.js 15, every component stayed true to that environment. MUI for UI primitives, and the sx prop instead of inline styles.
Finally, the dependency setup was also tidy. Kombai used the correct versions of Next.js, React, MUI, and Emotion in package.json that I selected earlier.
Fidelity
What impressed me most was how closely Kombai’s output matched the original Figma design. Spacing, typography, and alignment were all nearly perfect. The generated layout adapts across screen sizes.
Images rendered cleanly, too. For this project, Kombai used MUI’s <Avatar /> component to mirror the circular profile images from the design. Since there were no large images in the UI, Next.js’s Image component was not needed.
While I made a few manual adjustments and follow-ups, most of the heavy lifting was done in the first shot. The result was a responsive, production-ready Teams page that looked and felt exactly like what I had in Figma.
Expanding the Teams Page
Kombai works just as well in existing codebases as it does in new ones. After finishing the Teams page, I expanded the same project by adding a new Home page from another Figma file. The results were exactly what I expected.
Kombai understood the existing structure and built the new page around it, reusing components, keeping mock data cleanly separated, and maintaining the same layout precision as before.
It even reused the existing <SettingsHeader /> component from the Teams page. Kombai modified the component to create a variant for the Home page instead of generating a new one. Both pages now share the same base component, keeping the code consistent and easy to maintain.
If you’d like to see Kombai perform on a much larger, highly active codebase, check out the Roles & Permissions page we built in the Sygnoz repo.
Final thoughts
Kombai is the best way to generate code for Figma designs. It understands your Figma designs and your codebase together. This combination gives it a rare advantage.
Because of that, Kombai can generate high-fidelity code that fits perfectly into your codebase.