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AI-assisted, no-code website builder for designers to create, publish and host professional responsive websites.
AI-powered code editor with agentic workflows for developers.
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.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Visual, design-driven website builder
- ✦AI generation of layouts and content from prompts
- ✦Responsive design with breakpoints
- ✦Built-in CMS for dynamic content
- ✦Hosting, custom domains and SEO tools
- ✦Animations and interactive effects
- ✦AI-powered code completion and suggestions
- ✦Automated lint fixing
- ✦Cascade agent for advanced coding assistance
- ✦Integrated app building and deployment
- ✦MCP server support for custom tools
- ✦Terminal command integration
- ✦Memory of codebase structure and workflow
- ✦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
- →Building marketing and portfolio websites without code
- →Launching landing pages quickly
- →Designing responsive sites visually
- →Publishing and hosting sites in one platform
- →Accelerating software development by automating repetitive tasks
- →Reducing onboarding time for new developers
- →Improving code quality and reducing tech debt
- →Streamlining the app building and deployment process
- →Enhancing developer productivity by keeping them in a state of flow
- →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