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Browser extension and AI generator that copies CSS from any site and turns designs or screenshots into code.
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.
Vibe-coding builder creating full-stack apps by chatting with AI.
AI copilot that turns text or references into editable, multi-screen UI prototypes exportable to Figma or code.
No public pricing
Free trial available
- ✦Copy CSS/HTML from any website
- ✦Image and screenshot to code
- ✦AI React and HTML generators
- ✦Framework conversion (React, Tailwind, Vue)
- ✦Interactive editor with live preview
- ✦Free HTML-to-JSX and CSS-to-Tailwind tools
- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Python-native dynamic workflow authoring
- ✦Automatic failure recovery, caching, and versioning
- ✦Zero Trust architecture keeping data inside customer's cloud
- ✦Real-time inference and agentic-AI workflow support
- ✦High-throughput scaling (tens of thousands of actions per run)
- ✦Local development environment matching production behavior
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Text-to-UI prototype generation
- ✦Design from image or Figma references
- ✦Interactive multi-screen prototypes
- ✦Conversational AI editing
- ✦Export to Figma, HTML/CSS, images
- ✦MCP access for coding agents
- →Cloning UI elements from live sites
- →Turning mockups into code
- →Generating React components fast
- →Converting CSS to Tailwind
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →ML teams orchestrating training and inference pipelines at scale
- →Biotech/geospatial companies needing GPU-heavy pipeline orchestration
- →Enterprises migrating off Airflow for ML workflow management
- →Teams requiring workflows that never send data outside their own cloud
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- →Rapid UI wireframing
- →Prototyping product screens
- →Recreating a reference UI
- →Handing designs to developers