Kombai

What is Kombai?

Kombai is an innovative AI platform that automates the conversion of Figma prototypes into clean, semantic code, primarily focusing on React for web applications. Its mission is to eliminate the tedious manual coding process from designs, enabling faster collaboration between designers and developers while reducing errors in handoffs. By using advanced machine learning, Kombai interprets design layers, layouts, and interactions to generate logical code structures that match the original intent. This solves key problems in web development workflows, such as time-consuming translations from design tools to code, making it ideal for teams building responsive websites. Users can integrate it directly with Figma, select elements, and receive instant code outputs that are customizable and ready for refinement.

Kombai's Core Features

• Automatically generates React code from Figma designs, saving developers hours of manual work and ensuring design fidelity.

• Supports complex components like loops, conditionals, and nested structures, allowing for sophisticated web app builds directly from prototypes.

• Provides one-click code generation for selected design layers, making it easy to extract specific elements without full project conversion.

• Uses AI to infer logical code patterns, such as grouping similar elements into reusable components for better maintainability.

• Integrates seamlessly as a Figma plugin, enabling real-time code previews within the design environment.

• Offers high-fidelity CSS and HTML output that matches pixel-perfect designs, including responsive layouts and styling.

• Allows users to customize generated code with options for variable naming and framework adjustments to fit project needs.

• Handles dynamic elements like forms and interactions, producing functional code snippets ready for integration.

• Provides error-free code suggestions based on design best practices, reducing debugging time in development.

• Supports export to various formats, facilitating easy incorporation into existing codebases or IDEs.