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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
AI QA agent that writes and runs API, UI, and OWASP security tests automatically on every pull request.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Self-updating documentation
- ✦Web-based documentation editor
- ✦Custom domain hosting
- ✦Built-in search and API playground
- ✦MCP server for agent access
- ✦Authentication and access controls
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦AI-generated and self-maintaining test scenarios
- ✦API and UI test runs on every pull request
- ✦OWASP-aligned security probes
- ✦Import from OpenAPI, Postman, and spreadsheets
- ✦Shared, versioned scenario library
- ✦Velocity analytics on review time and coverage
- ✦CI/CD, Slack, Jira, and Cursor integrations
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Publish and maintain developer documentation
- →Expose docs to AI agents via MCP
- →Host a branded docs site on a custom domain
- →Give teams a collaborative doc editor
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Automating regression testing for API changes
- →Catching security issues before merge
- →Replacing spreadsheet-based test tracking
- →Continuous QA for fast-shipping engineering teams