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✓ verifiedFreemium

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

775K visits/mo
Code Autopilot logo
Code Autopilot
✓ verifiedFreemium

AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
Project IDX by Google logo
Project IDX by Google
✓ verifiedFree

Google's cloud-based, AI-assisted development environment, now rebranded and merged into Firebase Studio.

Pricing

No public pricing

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Chat inside GitHub issues and PRs
  • Task-to-implementation plans with code
  • Automatic bug-fix suggestions
  • Pull-request summaries for faster review
  • Full-codebase context
  • GitHub-native integration
  • 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)
  • Cloud-based IDE accessible from the browser
  • AI-assisted coding
  • Cross-platform app development
  • Preconfigured workspaces and templates
  • Now part of Firebase Studio
  • Digital Asset Management (DAM)
  • Media Asset Management (MAM)
  • AI-powered automation
  • Cloud, on-premises, or hybrid deployments
  • Integration with Adobe Creative Cloud, Cinema 4D, Sketch, and more
  • Version control
  • Fast search
  • Custom brand portals
  • Analytics
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Speeding up pull-request reviews
  • Implementing features from task descriptions
  • Debugging with AI-proposed solutions
  • Answering questions about a repo
  • Boosting a solo developer's output
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Building apps from anywhere in the browser
  • Prototyping with AI assistance
  • Developing cross-platform applications
  • Managing work-in-progress images, graphics, layouts, and documents.
  • Automating video workflows, including transcoding and archiving.
  • Identifying objects, faces, logos, and scenes in media using AI.
  • Generating speech-to-text for search and closed captioning.
  • Creating rough video cuts instantly with AI.
  • Managing campaign assets and distributing them to various endpoints.
  • Enabling secure collaboration for remote and on-premises teams.
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