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✓ verifiedFreemium

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

👁 775K/mo
Sherpa Coder
✓ verifiedFree

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

Cody
✓ verifiedPaid

Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.

👁 245K/mo
Applitools Eyes
✓ verifiedFree trial

AI-powered visual and functional test-automation platform for cross-browser, component, and accessibility testing.

👁 188K/mo
Pricing

No public pricing

No public pricing

Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

Free trial available

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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
  • 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
  • Visual AI UI validation
  • Cross-browser and cross-device testing
  • Component and accessibility testing
  • Codeless recorder and NLP test builder
  • Test orchestration and self-healing tests
  • Root-cause analysis and automated maintenance
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • 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
  • 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
  • Catch visual UI regressions
  • Automate cross-browser testing
  • Scale QA across large test suites
  • Run accessibility checks
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