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✓ verifiedFreemium

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

👁 775K/mo
Macroscope
✓ verifiedFreemium

AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.

👁 21K/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
Rerun
✓ verifiedFreemium

Open-source SDK and viewer for logging, querying, and visualizing multimodal robotics data, with a paid managed Hub for scale.

👁 88K/mo
Pricing

No public pricing

No public pricing

No public pricing

Free trial available

Open Source SDK: Free (Apache-2.0/MIT)
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI code review
  • Automatic engineering status updates
  • Agent that answers questions and takes action
  • Metrics on coding time and project focus
  • Pushed vs landed tracking
  • Commit and contributor insights
  • Chat with your repositories
  • Natural-language codebase search
  • Fast code indexing
  • AI pull-request and commit review
  • Automated documentation generation
  • AI unit-test generation
  • Open-source Python, Rust, and C++ logging SDK
  • Interactive desktop and web viewer for reviewing recordings
  • SQL and dataframe queries across logged data
  • Column-chunk .rrd storage format for multimodal data
  • PyTorch dataloader for training directly on recordings
  • Commercial Hub with managed catalog, SSO, and byte-range indexing
  • Used in robotics projects like LeRobot, Brush, and PyCuVSLAM
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Automating code reviews
  • Keeping stakeholders updated on engineering progress
  • Understanding what's changing in a codebase
  • Tracking team productivity metrics
  • Onboard new developers to a codebase
  • Resolve bugs faster
  • Generate docs and tests automatically
  • Review pull requests with AI
  • Robotics teams debugging calibration and training runs
  • Visualizing and querying large multimodal sensor datasets
  • Streaming training data mixes directly to GPUs at scale
  • Sharing annotated recordings across a robotics engineering team
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