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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
Aide Dev logo
Aide Dev
✓ verifiedPaid

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

7.6K visits/mo
CodeReviewBot.AI logo
CodeReviewBot.AI
✓ verifiedFreemium

AI bot that reviews GitHub pull requests, flagging bugs, security and performance issues with detailed, consistent feedback.

2.8K visits/mo790 saves
devActivity logo
devActivity
✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

52K visits/mo
2.3K visits/mo
Pricing

No public pricing

Standard: $49 per month
Opensource: $0/mo (100 reviews/mo, public repos)
Starter: $15/mo (40 PR reviews/mo, private)
Pro: $75/mo (500 reviews/mo)

Free trial available

Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)

No public pricing

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Parallel Agents for faster coding
  • GitHub native integration
  • Automated PR workflow
  • Smart PR suggestions
  • Automatic code reviews
  • Real-time progress tracking
  • Automated AI reviews on GitHub PRs
  • Bug, security and performance detection
  • Detailed, consistent feedback
  • Interactive code-review tool for snippets
  • Multi-language explanations
  • Customizable review rules (Pro)
  • Self-host/custom LLM (Enterprise)
  • Contribution and work-quality analytics
  • Automated, AI-powered performance reviews
  • Retrospective insights
  • Operational bottleneck alerts
  • Gamification with XP, levels and leaderboards
  • Uses Git metadata without accessing source code
  • Automated database tuning using AI
  • Performance optimization for MySQL and PostgreSQL
  • Cost reduction for database operations
  • Monitoring and optimization of database parameters
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
  • Generating PRs automatically
  • Improving code quality through continuous improvements
  • Automate pull-request reviews
  • Catch issues before merge
  • Get plain-English code explanations
  • Keep review quality consistent
  • Automating developer performance reviews
  • Spotting delivery bottlenecks
  • Generating retrospective insights
  • Motivating teams via gamification
  • Optimizing database performance for applications running on Amazon RDS and Aurora
  • Reducing database costs by automatically tuning configurations
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