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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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Cody
✓ verifiedPaid
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
👁 245K/mo
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v0.dev
✓ verifiedFreemium
Vercel's AI app builder that generates and deploys full-stack React web apps and UI components from natural-language prompts.
👁 176K/mo
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Codeflying
✓ verifiedFreemium
Vibe-coding builder creating full-stack apps by chatting with AI.
👁 118K/mo
Pricing
No public pricing
No public pricing
Enterprise: starting at $16K (includes AI feature credits, scales with team size)
Free: $0/mo ($5 included monthly credits, 7 messages/day limit)
Team: $30/user/mo ($30 included monthly credits per user)
Business: $100/user/mo ($30 included monthly credits per user, training opt-out by default)
Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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
- ✦Prompt-to-app generation of full-stack web applications
- ✦One-click deployment to Vercel hosting
- ✦GitHub sync for pushing generated code to a repository
- ✦Visual design mode for fine-tuning generated UI
- ✦Prebuilt templates for apps, dashboards and landing pages
- ✦Agentic building with automatic database and API connections
- ✦iOS app for building and editing on mobile
- ✦CodeFlying enables full-stack app creation via chat in minutes
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →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
- →Developers rapidly prototyping and deploying web apps
- →Teams generating UI components and design systems from prompts
- →Non-technical founders building MVPs without writing code
- →Students and hobbyists building and publishing small projects
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