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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI coding assistant on Stack Overflow that answers dev questions using the site's Q&A knowledge base, via chat or IDE.
Browser-based AI dev workspace by Google for full-stack apps; being sunset on 22 Mar 2027, no new workspaces.
Vibe-coding builder creating full-stack apps by chatting with AI.
Visual state-machine editor (built on XState) that lets teams design app logic as diagrams and export runnable JS/TS code.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Chat interface for asking coding questions
- ✦Answers sourced from Stack Overflow's Q&A archive
- ✦MCP server for IDE/agent integration
- ✦Saves and returns to chat history when logged in
- ✦Cloud workspaces for full-stack development
- ✦App Prototyping agent from natural language
- ✦Gemini AI for coding, debugging and docs
- ✦Repo import from GitHub, GitLab and Bitbucket
- ✦Web previews and Android emulators
- ✦Deploy to Firebase App Hosting, Hosting or Cloud Run
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Drag-and-drop visual state machine editor
- ✦Bidirectional code/diagram sync via XState
- ✦AI generation and modification of state machines
- ✦Auto-generated React app prototypes and tests
- ✦GitHub sync and Figma embedding
- ✦Live simulation and Stately Inspector for debugging
- ✦Version history and shareable diagrams
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Debugging code without leaving chat
- →Getting quick answers grounded in community-vetted content
- →Connecting AI coding agents to Stack Overflow via MCP
- →Researching solutions during IDE-based development
- →Prototyping apps from a prompt or mockup
- →Building full-stack apps in the browser
- →Collaborating and sharing preview URLs
- →Deploying and monitoring apps quickly
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- →Frontend teams modeling complex UI flows
- →Backend teams documenting workflow logic
- →Teams wanting living, always-current documentation
- →Non-technical stakeholders reviewing app logic visually