The best agent for complex Frontend tasks
How modern Frontend teams build with AI
Powerful UX interpretation engine
Kombai can build beautiful, scalable UX from Figma, image and text inputs.
Get high-fidelity code from Figmas
Using custom ensemble models, Kombai can translate complex, real-world Figmas with much higher accuracy than the best-in-class LLMs + MCPs.
Use multiple designs as context
Attach multiple Figmas or images to describe different states or flows. You can also attach them in follow-ups on the same thread.
Build beautiful UI from text inputs
Kombai is tuned to build modern, functional UIs by default. Users can also provide additional design instructions or inspirations.
High-quality code that fits into your repo
Kombai understands your codebase, matches your stack, and produces code that can be merged into production.
Stick to your stack
Kombai consistently codes in your preferred tech stack. Set the stack manually or let Kombai detect it from your repo.
Use appropriate context from repo
Kombai can find relevant contexts in a repo by using search and indexing tools. You can also add contexts manually using @.
Parameterized understanding of repos
Kombai's context engine finds a range of frontend-related parameters (e.g. theme files) from a repo and uses them for coding.
Tooling optimized for frontend tasks
Use tools like planning, live previews and automated error fixing to make sure that AI is consistently matching your expectations.
Editable plan for large tasks
Before starting on complex tasks, Kombai builds a development plan that you can review & edit.
Run preview in isolation
Kombai can spawn up a dev-server to run the generated code. This lets users see a preview of the code output before accepting the edits.
Auto-fix TS, compile and run errors
After each code generation, Kombai runs a dev server, finds relevant errors in code, and fixes them iteratively.