Kombai

Kombai is an AI-first frontend engineering assistant designed to convert visual designs and simple prompts into production-ready user interfaces with speed and fidelity. It blends design-aware models with repository-aware context so it can translate Figma frames, screenshots, or textual descriptions into clean, maintainable code that respects your project’s existing patterns. Rather than producing one-off snippets, it outlines a clear plan, offers editable previews, and iterates — compiling, running, and auto-correcting common TypeScript and linting issues so teams spend less time debugging and more time shipping. Its Code Mode supports end-to-end workflows from plan to preview to save, while Ask Mode lets developers query and explore a live codebase in natural language, making on-ramps for new contributors faster and code reviews more focused. Engineers can configure an extensive tech stack per workspace — choosing frameworks such as React or Next.js, state and data layers like RTK, TanStack Query or GraphQL, component libraries including Material UI, Ant Design or shadcn, and styling systems that range from Tailwind to CSS Modules or Sass.

It is also built for email production: it converts Figma email designs into responsive, cross-client HTML that integrates with major ESPs, supports localization, dark mode, dynamic blocks and deliverability best practices, which is why teams use it for campaign-ready templates. Integrations include IDE plugins for VS Code and other editors so developers can summon Kombai’s capabilities inside their familiar workflows, and enterprise plans provide advanced customization, privacy safeguards, and Storybook or CI hooks for stricter release pipelines. What sets it apart is its focus on quality and context — it prioritizes reuse of existing components, produces high compilation and lint pass rates, and surfaces editable plans so humans stay in control of design intent and engineering constraints. For product teams looking to accelerate frontend delivery without sacrificing maintainability, it offers a pragmatic balance of automation and observability, turning design-to-code friction into a repeatable, auditable process that helps teams ship polished user experiences faster. It’s particularly valuable for startups, design agencies, and large engineering teams who need consistent UI quality, faster prototyping, and easier handoffs between designers and developers, and stakeholders.