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AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Visual development platform with AI design-to-code, a visual editor and headless CMS so teams and agents ship UI in real code.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Visual state-machine editor (built on XState) that lets teams design app logic as diagrams and export runnable JS/TS code.
Free trial available
No public pricing
No public pricing
Free trial available
- ✦Automatic context-gathering from connected engineering sources
- ✦AI-generated code, tests and pull requests from tickets
- ✦Task planning that breaks complex work into subtasks
- ✦Auto-updating engineering documentation
- ✦Vector search over embedded project data
- ✦Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
- ✦Engineering productivity analytics dashboard
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦AI design-to-code (Figma to code)
- ✦Visual editor tied to your components
- ✦Headless/visual CMS
- ✦AI agents (Builder-Agent) that open PRs
- ✦Integrations: GitHub, GitLab, Bitbucket, Figma, VS Code
- ✦Roles, reviews and collaboration
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦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
- →Engineering teams automating ticket-to-PR workflows
- →Developers wanting AI-assisted debugging and test generation
- →Engineering managers tracking AI-driven productivity gains
- →Teams centralizing documentation from scattered sources
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Convert designs to production code
- →Let non-developers edit pages visually
- →Manage content with a headless CMS
- →Collaborate across design, PM and engineering
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Frontend teams modeling complex UI flows
- →Backend teams documenting workflow logic
- →Teams wanting living, always-current documentation
- →Non-technical stakeholders reviewing app logic visually