Kombai - The AI Agent Built for Frontend

Converts Figma design files, screenshots, or text descriptions into functional frontend code by extracting visual assets and layout information from Figma via MCP integration, then generating corresponding component code. Users can select specific DOM elements or screen snippets to provide pinpoint conversion instructions, enabling high-fidelity design-to-code workflows without manual asset extraction or layout specification.

Generates new frontend components, features, or improvements by analyzing existing codebase patterns, component libraries, theme definitions, and architectural conventions. The agent builds a 'dev-like understanding' of the repository structure and automatically reuses existing components, styling patterns, and naming conventions across generated code, ensuring consistency with the project's established patterns without requiring explicit style guides.

Generates frontend code across diverse technology stacks (React, Vue, Svelte, Angular, etc.) with built-in knowledge of 400+ frontend libraries, frameworks, and dependencies. The agent includes embedded documentation and best practices for popular libraries, enabling it to generate idiomatic code that follows framework conventions and library APIs without requiring external documentation lookups or manual API reference checking.

Executes frontend tests and tasks autonomously by controlling a browser instance, inspecting DOM elements, interacting with the application UI, and validating test results. The agent can navigate to local development servers, interact with components, capture screenshots, and execute test suites without manual intervention, enabling end-to-end testing workflows and validation of generated code.

Refactors existing frontend code while preserving the project's architectural patterns, component structure, and styling conventions. The agent analyzes the codebase to understand existing patterns and applies refactoring transformations that maintain consistency with the project's established conventions, enabling large-scale refactoring without introducing architectural inconsistencies.

Improves frontend user experience by analyzing existing components and suggesting or implementing enhancements to theme consistency, layout responsiveness, animations, and visual polish. The agent can modify styling, add animations, improve responsive design, and enhance visual hierarchy while maintaining consistency with the project's design system and existing patterns.

Allows developers to define their project's technology stack in structured format, which the agent then automatically follows across all generated code and refactoring tasks. The extension maintains 'structured memory' of the tech stack configuration, ensuring that all generated code adheres to the specified frameworks, libraries, styling approaches, and architectural patterns without requiring per-task specification.

Provides compatibility with multiple AI-augmented code editors (Cursor, Windsurf/Codeium, Claude Code, Codex) beyond native VS Code, enabling Kombai's frontend-specialized agent to work within developers' preferred AI-augmented IDE. The extension integrates with these editors' extension systems and AI capabilities, though the specific integration mechanism for non-VS Code platforms is undocumented.

Implements a freemium pricing model where users receive 300 free credits per month for code generation, refactoring, testing, and other agent tasks. Credits are consumed per task execution, with paid tiers available for higher usage. The credit system gates access to the agent's capabilities without requiring per-API-call billing or complex usage tracking.