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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
2.6K visits/mo
Aide Dev logo
Aide Dev
✓ verifiedPaid

Aide helps developers code faster with parallel agents and automated workflows.

7.6K visits/mo
1.7K visits/mo
Blaze SQL logo
Blaze SQL
✓ verifiedFree trial

AI SQL analyst that learns your database to turn plain-English questions into queries, dashboards and reports for teams.

23K visits/mo5.4K saves
Pricing

No public pricing

No public pricing

Standard: $49 per month
Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
Team: $400/mo (3 users, +$50/extra user)
Team Advanced: $800/mo (3 users, +$75/extra user)

Free trial available

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Natural language to SQL conversion
  • Parallel Agents for faster coding
  • GitHub native integration
  • Automated PR workflow
  • Smart PR suggestions
  • Automatic code reviews
  • Real-time progress tracking
  • Commits and Pull Requests Dashboard
  • Advanced Developer Skills Analysis
  • Strategic Investment Balance Monitoring
  • Collaborative Developers Map
  • Benchmarking Comparison with Other Teams
  • Smart Notifications
  • Auto-learns database schema without manual setup
  • Natural-language querying with accuracy scoring
  • Drag-and-drop personal dashboards
  • Automated PDF and interactive reports
  • Works inside ChatGPT, Claude, Slack and MS Teams
  • Desktop app keeps query results local
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Generating SQL queries from text descriptions.
  • Automating code reviews
  • Generating PRs automatically
  • Improving code quality through continuous improvements
  • Visualize historical graphs of code evolution
  • Assess development team performance using RSI and EMA
  • Understand developer skills and identify areas for improvement
  • Categorize commits by type (fixes, refactoring, etc.) to analyze investment balance
  • Identify individual and collective contributors within the team
  • Compare team performance with industry benchmarks
  • Receive weekly and monthly reports with AI-extracted insights
  • Let non-technical staff self-serve data insights
  • Speed up ad-hoc analysis for BI teams
  • Generate recurring reports automatically
  • Query across many SQL databases and warehouses
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