Question: I'm looking for a solution that generates clean, extendable code for building responsive, multi-screen apps.

If you need a way to produce clean, extensible code to build responsive, multi-screen apps, Quest could be a good option. It lets developers convert their Figma designs into React components, automatically generating responsive, multi-screen experiences. With AI models producing useful code, it supports design systems and component libraries, and offers features like Figma to Code, Animation Library, and Clean Code. It's designed for development teams that can collaborate with Apps and Workspaces and that have more than 1,000 templates and components to get started.

Another option is Builder.io, a collection of tools that uses AI to convert Figma designs into code. It includes a Visual Copilot that fine tunes AI-generated code based on user input, a drag-and-drop visual editor for real-time collaboration, and support for frameworks like React, Vue and Angular. Builder.io also offers component mapping, a global CDN for content delivery, and an asset manager for organization and optimization, so it's a good option for teams that want to accelerate their development workflow.

Bifrost is another tool that automates the conversion of Figma designs into React code. It can generate entire component sets from Figma designs, supports popular frameworks like Tailwind and Chakra, and lets you easily update components with new design changes. The tool is designed to eliminate tedious coding work and speed up development cycles, so it's a good option for developers and designers who want to spend their time on high-impact features and efficient design updates.

For those who want a flexible and efficient option, Kombai offers AI-powered design-to-code conversion with pixel-perfect precision. It can output code in React and HTML + CSS, and can be integrated with other frameworks like Vue, Svelte, Angular and Django. Kombai offers several pricing tiers to suit different needs and budgets, so developers can save time and avoid manual coding. It also lets users regenerate code and steer the output through "design prompt engineering."