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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 prototyping tool that generates UI matching your design system, letting product teams test features fast.
AI design-to-code tool that turns Figma/Adobe XD designs into responsive front-end code for React, HTML/CSS and more.
No public pricing
No public pricing
- ✦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
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Figma and Adobe XD plugins for design import
- ✦AI conversion of designs to responsive code
- ✦Output to React, React Native, Next.js, HTML/CSS, Vue and more
- ✦Reusable, editable components
- ✦One-click export or sync of generated code
- →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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- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Turning designs into front-end code faster
- →Prototyping web and mobile UIs from Figma
- →Giving developers a code head-start from designs