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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
GitLoop
✓ verifiedFree trial

AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.

👁 11K/mo2.7K
Super Annotate
✓ verifiedPaid

Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.

👁 406K/mo
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
Pricing

No public pricing

No public pricing

Free trial available

No public pricing

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)
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Chat with your repositories
  • Natural-language codebase search
  • Fast code indexing
  • AI pull-request and commit review
  • Automated documentation generation
  • AI unit-test generation
  • Customizable multimodal annotation editors for image, video, text and audio
  • Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
  • Managed expert annotator workforce option
  • Data curation, exploration and analytics tools
  • Team and project management with SSO on higher tiers
  • Integrations with AWS, GCP, Databricks, Snowflake and others
  • 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
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Onboard new developers to a codebase
  • Resolve bugs faster
  • Generate docs and tests automatically
  • Review pull requests with AI
  • Building large-scale labeled datasets to train computer vision or NLP models
  • Running human evaluation and RLHF pipelines for LLM fine-tuning
  • Auditing and scoring AI agent decisions with human review
  • 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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