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AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
Design-system platform that packages tokens, code components, and rules into scoped context for AI coding agents.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Visual development platform with AI design-to-code, a visual editor and headless CMS so teams and agents ship UI in real code.
No public pricing
No public pricing
No public pricing
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
- ✦Scoped MCP context distribution to multiple AI coding tools
- ✦Design token and component API management
- ✦Collaborative documentation with analytics
- ✦Figma and Storybook data source integration
- ✦Feedback loop for improving AI context quality
- ✦Skill and exporter management for agent capabilities
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦AI design-to-code (Figma to code)
- ✦Visual editor tied to your components
- ✦Headless/visual CMS
- ✦AI agents (Builder-Agent) that open PRs
- ✦Integrations: GitHub, GitLab, Bitbucket, Figma, VS Code
- ✦Roles, reviews and collaboration
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases
- →Product teams giving AI coding agents accurate design-system context
- →Design system managers publishing a single source of truth
- →Engineering teams reducing token usage by scoping agent context per team
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Convert designs to production code
- →Let non-developers edit pages visually
- →Manage content with a headless CMS
- →Collaborate across design, PM and engineering