Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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CodeRabbit
✓ verifiedPaid
AI code review tool with huge adoption; ~870K visits and 1.4M saves.
870K visits/mo1.5M saves
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devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
52K visits/mo
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Supermaven
✓ verifiedFreemium
Fast AI code-completion tool with a 1M-token context window, offering free and paid tiers for individuals and teams.
Pricing
No public pricing
Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Free Tier: $0/mo
Pro: $10/mo (1M token context, 30-day free trial)
Team: $10/mo per user (unlimited users, centralized billing)
Free trial available
Core features
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- ✦AI-powered code reviews
- ✦Contextual line-by-line feedback
- ✦Critical change flagging
- ✦Bot interaction
- ✦Direct commit from GitHub
- ✦Integration with Jira & Linear
- ✦Agentic Chat with CodeRabbit
- ✦Product analytics dashboards
- ✦Customizable reports
- ✦Docstrings generation
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- ✦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
- ✦Low-latency AI code completions
- ✦1 million token context window for large codebases
- ✦IDE support for VS Code, JetBrains, and Neovim
- ✦Built-in chat with multiple model options
- ✦One-click diff/apply for AI-suggested changes
- ✦Automatic error-fixing using compiler diagnostics
Use cases
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- →Automated code review for pull requests
- →Identifying potential bugs and vulnerabilities
- →Improving code quality and consistency
- →Onboarding new developers with AI-driven guidance
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- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Solo developers wanting a fast, free code-completion tool
- →Professional developers working in large codebases needing more context
- →Engineering teams standardizing on one AI coding assistant with central billing
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