Kombai

Overview

Kombai is an AI agent purpose-built for frontend development. It converts Figma designs, images, or natural language prompts into production-ready UI code for React, Vue, Angular, and 400+ libraries. Its deep learning models understand messy design files without requiring strict naming or auto-layout, and it integrates with VS Code, Cursor, and Windsurf. Kombai indexes your codebase to reuse existing components and match your team's coding patterns, turning tasks that take 4-6 hours into under 30 minutes.

Key Features

Figma-to-Code Conversion: Convert Figma designs into high-quality, component-based code without needing clean layer structures, auto-layout, or strict naming conventions. Kombai handles messy real-world design files with ease.
400+ Library Support: Works with React, Vue, Angular, Svelte, Next.js, Tailwind CSS, MUI, Chakra UI, shadcn, and hundreds more. Detects your tech stack automatically by scanning your repo.
Codebase-Aware Code Generation: Indexes your existing components, design tokens, and coding patterns so generated code reads like your team wrote it. Reuses shared components across every task.
Smart Planning & Preview: Shows an editable plan before writing any code. Creates a sandbox server for live preview so you can review components in isolation before merging.
Built-in Browser Tools: Combines deep browser data access with multi-tab context. Preview generated code, debug issues, check network requests, and spot layout problems without leaving the tool.
Auto Error Detection & Fixing: Automatically runs your code after generation, detects TypeScript or runtime issues, and fixes them iteratively to reduce debugging time.
IDE Integration: Works inside VS Code, Cursor, Windsurf, and Trae as an extension. Fits directly into your existing development workflow.
Email HTML Generation: Converts Figma email designs into table-based HTML email code compatible with major email clients.

Pros

Massive Time Savings: Tasks that typically take 4-6 hours can be completed in under 30 minutes, especially for converting designs to code.
No Design File Preparation Required: Unlike competitors, Kombai works with messy Figma files. No auto-layout, strict naming, or clean layer groups required.
Strong Tech Stack Detection: Automatically scans your repository to detect your framework, libraries, and coding patterns, then generates code that matches.
High-Fidelity Output: Generates clean, responsive components using modern CSS (Flexbox, Tailwind) that closely match the original Figma design with minimal manual tweaks.
Live Preview and Debugging: Built-in browser tools let you see rendered components and catch issues before opening your IDE.
SOC2 Certified: Your data is never used for training or model improvements, which matters for teams working on proprietary products.

Cons

Complex Animations Require Manual Work: Highly customized layouts with intricate animations may require post-generation tweaks. Competitors like Anima offer stronger animation support.
Desktop-only Requirement: Relies on Chromium-based browsers, which limits mobile-first workflows and access from non-desktop environments.
React-heavy Focus: While it supports Vue, Angular, and other frameworks, the strongest results come from the React ecosystem. Angular support is still catching up based on user requests.
Credit-Based Pricing Can Add Up: Loading a single Figma design and generating UI costs 20-40 credits, which can deplete free-tier credits quickly on larger projects.
Not a Full-stack Solution: Focuses exclusively on frontend UI code. Backend logic, API integration, and database work still need separate tools.

Use Cases

Converting Figma Designs to Production Code: Hand off your Figma mockups to Kombai and get clean, component-based React (or Vue, Angular, etc.) code in minutes instead of hours. Designers don't need to restructure their files or follow special naming conventions. This works well for teams where design handoff is a regular bottleneck.
Bootstrapping New Features in Existing Apps: Add new pages or components to a large codebase without starting from scratch. Kombai indexes your existing components and patterns, then generates new code that reuses your shared elements and follows your established conventions. One example showed developers adding a full shopping cart feature to an e-commerce app.
Building Landing Pages and MVPs Fast: Go from a Figma design or text description to a working, responsive landing page in minutes. Kombai detects your framework, installs needed tools like Tailwind CSS, and produces launch-ready output. Ideal for startups and freelancers who need to ship quickly.
Replicating Live Website Patterns: Open a URL in Kombai's built-in browser, select a DOM element you want to emulate (like a navigation pattern or data grid), and prompt Kombai to recreate it using your repo's existing components and styling.
Creating Email Templates from Figma: Convert Figma email designs into table-based HTML email code that works across major email clients. Saves hours of tedious email-specific HTML and inline CSS work.
Refactoring and Improving Existing Frontend Code: Beyond generating new code, use Kombai to refactor components, run tests, and identify performance issues through its browser-based debugging tools.

Frequently Asked Questions

What is Kombai?

Kombai is an AI agent built specifically for frontend development. It converts Figma designs, images, or natural language prompts into production-ready UI code. Unlike general-purpose coding assistants, Kombai uses specialized deep learning models trained to understand design files the way a human developer would.

What frameworks and libraries does Kombai support?

Kombai supports React, Vue, Angular, Svelte, Solid, Preact, Vanilla JS, React Native, Flutter, and more. It also works with meta-frameworks like Next.js, Nuxt, Astro, and SvelteKit, plus component libraries like MUI, Chakra UI, shadcn, and Mantine. In total, it has tested support for 400+ frontend libraries.

How much does Kombai cost?

The Free plan costs $0 per month and includes 300 credits with rollovers allowed up to half the monthly limit.
The Pro plan costs $20 per month and provides 2,000 credits, double the rollover limit, email support, data privacy, and SOC2 compliance.
The Team plan costs $30 per month and offers shared credits, centralized management, unlimited rollovers, and shared commands.
The Enterprise plan features custom pricing for a custom context engine, dedicated onboarding, and comprehensive security evaluations.

Do I need to prepare my Figma files in a specific way?

No. Kombai's deep learning models handle messy Figma files, including poor layer grouping, invisible layers, and designs without auto-layout. You don't need strict naming conventions or perfectly structured files. This is one of its biggest advantages over competitors.

Which IDEs does Kombai work with?

Kombai integrates with VS Code, Cursor, Windsurf, and Trae through extensions available in their respective marketplaces. You install the extension, launch it, and start working directly inside your editor.

Is my code and design data secure with Kombai?

Yes. Kombai is SOC2 certified and explicitly states that your data is never used for training or model improvements. This makes it suitable for teams working on proprietary or sensitive projects.

How does Kombai compare to Figma MCP or general AI coding tools?

General AI coding assistants like GitHub Copilot or Cursor handle many programming tasks but aren't specialized for frontend design-to-code work. Kombai's specialized Figma interpretation engine, component indexing, and frontend-specific planning give it a significant accuracy advantage for UI code generation. Compared to Figma MCP, Kombai handles complex design structures more reliably and produces cleaner component hierarchies.

Can Kombai work with my existing codebase?

Yes. Kombai indexes your repository to understand your components, design tokens, and coding patterns. It reuses your existing shared components and generates new code that follows your established conventions, even in large production codebases.