Skip to main content
K

Kombai

The startup offers a UI coding platform that automates repetitive tasks for frontend developers, such as generating CSS and boilerplate JavaScript code. By providing tools for accurate layout structures, reusable components, and framework-specific syntax, the platform enhances development efficiency and reduces manual coding errors.

Pune, IndiaFounded 2022232K+ followers
Updated 18 months ago

Funding

$4.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Frontend developers spend considerable time on repetitive UI coding tasks such as generating CSS, constructing DOM structures, and creating React components, diverting focus from complex business logic. Existing design-to-code solutions often produce low-quality, inflexible code that requires significant manual rework.

Solution

Kombai is an AI-powered platform that automates the generation of high-quality, human-like HTML, CSS, and React code directly from design files. By inputting designs, developers receive logical div structures, reusable components with human-like names, and CSS optimized for flex layouts without hardcoded dimensions. The platform also generates JavaScript code with loops, conditions, and mock data, streamlining the UI development process.

Target Audience

Kombai is designed for frontend developers seeking to accelerate UI development, reduce manual coding, and improve code quality.

Features

  • Generates HTML, CSS (vanilla or Tailwind), and React code from design files.
  • Interprets designs without requiring specific tagging, naming, or auto-layout configurations.
  • Produces logical div structures and React components with human-like naming conventions.
  • Creates CSS code optimized for flex layouts, including `flex-grow`, `flex-shrink`, `justify-content`, `align-items`, and `gap` properties.
  • Generates JavaScript code with loops, conditions, and mock data derived from design inputs.
  • Supports form elements as functional components using MUI Base or HTML.
  • Allows "design prompt engineering" to guide code generation.
This profile is AI-generated and may contain inaccuracies.