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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI-native test automation that generates, self-heals and runs UI, API and AI-agent tests across browsers and devices.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Agentic QA platform that drives a real browser or live API to verify AI-generated code and hands agents a fixable bug report.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
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No public pricing
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No public pricing
- ✦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
- ✦AI-generated test cases for web, mobile, API and databases
- ✦Self-healing tests that patch selector drift
- ✦AI agent testing with adversarial scenarios and scoring
- ✦Parallel cloud grid across Chromium, Firefox, WebKit, iOS, Android
- ✦MCP to drive testing from Claude, ChatGPT or Cursor in plain English
- ✦Root cause analysis and visual regression
- ✦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
- ✦Live browser/API testing rather than mocked assertions
- ✦Auto-generated failure bundles with root-cause hypotheses
- ✦CLI and MCP/IDE integration for AI coding agents
- ✦Auto-healing tests when the UI drifts
- ✦Growing regression suite that persists across development phases
- ✦No-code web app with live preview and video replay for QA teams
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Automate end-to-end regression without hand-writing scripts
- →Validate AI agents on Agentforce, Bedrock or Azure AI before launch
- →Run cross-browser tests inside existing CI/CD pipelines
- →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
- →Verifying AI coding-agent output before merging code
- →Catching regressions from unattended overnight coding runs
- →QA teams testing live apps without writing test scripts
- →Gating CI/CD releases on end-to-end pass rates
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups