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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI-powered IDE with code completion, generation, explanation and debugging, plus a cloud dev environment, for developers.
AI coding assistant with multi-model chat and developer tools to help write, explain and improve code faster.
AI app builder that lets non-developers describe an idea and generate a working mobile or web app through chat.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦AI code completion and snippet generation
- ✦Natural-language code generation
- ✦Code explanation and AI Q&A
- ✦Automated bug detection and fixes
- ✦Zero-config cloud development environment
- ✦Project creation from templates or Git
- ✦AI code generation
- ✦Multi-model chat
- ✦Developer utility tools
- ✦Code explanation and improvement
- ✦Natural language to app generation
- ✦Support for both mobile and web app output
- ✦Deployment-ready output with responsive UI
- ✦Credit-based usage pricing pegged to AI provider costs
- ✦Rollover, non-expiring credits
- ✦Mobile companion app for building on the go
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Writing and completing code faster with AI
- →Onboarding to unfamiliar codebases
- →Debugging and optimizing code
- →Spinning up dev environments in the browser
- →Writing code faster
- →Explaining or debugging code
- →Generating tests and documentation
- →Founders prototyping a mobile app idea without hiring developers
- →Non-technical users building internal tools or SaaS MVPs
- →Teams needing quick websites or content management systems
- →Developers experimenting with AI-assisted app scaffolding
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure