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Free open-source VS Code fork letting developers connect directly to any AI model without a proxy, for privacy-focused coders.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.
No public pricing
No public pricing
No public pricing
- ✦Tab-key autocomplete suggestions
- ✦Inline quick-edit on selected code
- ✦Chat with agent, gather, and normal modes
- ✦Direct connections to any LLM provider, no proxy backend
- ✦One-click import of VS Code themes and settings
- ✦Checkpoints to track and revert LLM-made changes
- ✦Lint error detection
- ✦Fast apply designed for large, 1000+ line files
- ✦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
- ✦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 for single and multi-line suggestions
- ✦In-IDE chat supporting the full software development lifecycle
- ✦Agentic workflows and a CLI for terminal-based AI coding
- ✦Enterprise Context Engine for org-specific codebase understanding
- ✦Zero code retention and no training on customer code
- ✦Flexible deployment: SaaS, VPC, on-prem or air-gapped
- ✦Governance controls, SSO, and centralized usage analytics
- →Switching from Cursor or Windsurf while keeping data private
- →Running local open models like DeepSeek or Llama instead of paying per API call
- →Connecting directly to frontier models such as Claude or Gemini
- →Editing and refactoring large codebases with AI help
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Enterprise engineering teams needing private, compliant AI coding tools
- →Developers wanting AI chat and completions inside their existing IDE
- →Organizations with legacy or mixed tech stacks requiring context-aware suggestions
- →Security-sensitive teams requiring air-gapped AI deployment
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