Kombai

Kombai is an AI-powered design and coding agent built to help users create websites and product user interfaces. Available as an IDE extension and downloadable application, it combines a visual design canvas with frontend code generation capabilities. The tool is designed to unify the design, code, and browser workflow so users can build, edit, and ship production-ready frontends in a single loop.

• Infinite canvas for designing websites and product user interfaces with curated design inspirations and variations
• Generation of production-ready frontend code that reuses components, hooks, tokens, and types from your repository, npm packages, and Storybook via Context Graphs
• Visual editor for rendered frontends allowing direct editing of text, styles, and layout with CSS property updates
• Native Figma integration for importing complex design files, fixing grouping issues, and extracting icons and assets
• Built-in skills library, native Figma parsing, and specialized plan and debug modes tailored for frontend work
• Coding agent capabilities including MCPs, parallel agent runs, web fetch, terminal access, and custom commands
• Kombai Browser extension to fetch browser data such as console and network logs and send precise browser context
• Git-based canvas versioning allowing teams to commit, branch, merge, and collaborate directly on .canvas files

Pros

• Provides a unified loop across canvas, repository, and browser so editing any single element updates the rest in a click
• Applies human-tested best practices for over 400 frontend libraries by scanning your repository and learning your stack
• Extracts assets and cleans up complex design layers seamlessly through a native Figma import feature
• Offers robust coding agent tools like terminal access, custom commands, parallel agent runs, and Model Routers

Cons

• Free plan caps users at 300 credits per month with a rollover limit up to 0.5x
• Daily credit top-ups on the free plan cap at 50 credits per day
• Teams plan limits seat counts up to 20 members per the faq details
• Advanced enterprise features such as custom context engines, dedicated support, and custom SLAs require contacting sales

Kombai fits frontend developers, individual creators, and engineering teams looking to unify their design canvases, codebases, and browser testing into a single workflow. It is well-suited for developers who want to generate production-ready code that respects existing stack patterns, repositories, and design systems. It is a poor fit for users seeking a backend-focused engineering environment or those who do not work with frontend web technologies.

Kombai operates on a freemium model. The Free plan costs $0 per month and includes 300 credits per month, 150 credits on sign-up, and 50 credits daily with credit rollovers up to 0.5x. The Pro plan starts at $20 per month for individuals, offering 2,000 credits per month, credit rollovers up to 2x monthly, email support, no AI training on user data, and SOC 2 compliance. The Team plan is priced at $40 per user per month and adds index external packages, shared rules and commands, a shared credit pool for up to 20 members, unlimited credit rollovers, and centralized billing. The Enterprise plan offers custom pricing and features upon contacting sales, including a custom context engine, dedicated support, and onboarding services. Annual billing saves 20%.

Unlike generic AI coding assistants, Kombai is domain-specialized for frontend work, integrating visual canvas editing directly with your existing codebase, repository packages, and browser environment. Rather than forcing a handoff between design files and code, it maintains a synced loop where canvas designs are treated as HTML blocks and code edits instantly reflect visually. It also constructs Context Graphs to deeply understand a codebase and apply stack-specific best practices across more than 400 frontend libraries.

Kombai integrates with popular IDEs including VS Code, Cursor, Antigravity, Trae, and Kiro, and is downloadable from the Open VSX Registry. It features native integration for Figma design files, works with external and private npm packages, indexes Storybook, utilizes Model Routers, and supports frontier, mid-tier, and budget models as well as asset generation models like Veo, Seedance, and Nano Banana.