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AI chat agent that investigates servers, clusters, databases, and Docker apps over SSH and proposes fixes for developers and SREs.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
AI design engineer that designs UIs on a canvas and ships production frontend code in your own stack.
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Direct SSH, Kubernetes, and database connections without an installed agent
- ✦Bring-your-own-AI support for 14 providers including local models
- ✦Read-only or approval-gated command execution
- ✦Combined terminal and chat activity log
- ✦Project grouping for related infrastructure
- ✦Monitoring rules with plain-language alerting
- ✦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
- ✦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 UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Design UIs on an infinite canvas
- ✦Production frontend code in your stack (400+ libraries)
- ✦Reuses your components, tokens, and hooks
- ✦In-browser editing with DevTools context
- ✦Design and code stay synced in your repo
- ✦Asset and animation generation
- →Diagnosing production incidents from a phone away from a desk
- →Investigating server health without juggling SSH, dashboards, and log tools separately
- →Running approved database queries and fixes through an AI assistant
- →DevOps teams standardizing incident response across a fleet of servers
- →Engineers wanting local-model AI operations without exposing keys to a vendor backend
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →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
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Turning designs into production frontend code
- →Building landing pages and product UIs
- →Refining UI directly in the browser
- →Keeping design and code in sync