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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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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
Apify logo
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves
GitFluence logo
GitFluence
✓ verifiedFree

Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.

Kane CLI By TestMu AI logo
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 saves
Pricing

No public pricing

Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)

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
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • Natural-language to Git command suggestions
  • AI-driven command matching
  • Copy-ready command output
  • Git guides and reference
  • 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
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Find the correct Git command quickly
  • Learn Git syntax by describing a goal
  • Avoid memorizing Git flags
  • 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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