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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
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

Kane CLI By TestMu AI
✓ verifiedFreemium

Terminal-native AI tool (Kane CLI) that turns plain-English descriptions into real-Chrome browser test flows.

1.0K
Pricing

No public pricing

No public pricing

Free trial available

No public pricing

Free: $0/month (200 credits)
Starter: $19/month (2,000 credits, +100% bonus = 4,000 total during launch offer)
Pro: $99/month (10,000 credits, +50% bonus during launch offer)
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
  • in-editor chat with OpenAI assistants
  • workspace source-code context sharing
  • support for custom, user-defined assistants
  • secure management of the user's OpenAI account
  • Natural-language browser flow automation from the CLI
  • Auto-healing and vision-based element detection
  • Integration with a wider agentic test cloud (real devices, visual/accessibility testing)
  • MCP server for connecting AI agents into IDEs
  • Shareable evidence links for pass/fail results
  • Credit-based monthly usage plans
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
  • getting coding help without switching out of VS Code
  • using a personalized OpenAI assistant tuned to a project
  • quick in-editor Q&A while writing code
  • Developers running local end-to-end browser tests from a terminal
  • QA teams automating cross-browser regression checks
  • Teams needing tests resilient to UI redesigns
  • IDE-integrated AI test authoring via MCP
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