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AI Tool Comparison
Devin vs Cursor
A detailed side-by-side comparison to help you choose the right AI tool for your needs.
Feature Comparison
Pros & Cons
Devin
Pros
- Fully autonomous execution — handles tasks end-to-end without constant human oversight
- Learns from your codebase over time, improving task accuracy with continued use
- Unlimited seats across all plans, so entire teams can collaborate without per-seat costs
- Supports concurrent sessions (unlimited on Team and Enterprise) for parallel task execution
- Proven at enterprise scale — Nubank reported 8x efficiency gains and 20x cost savings
Cons
- Minimum $20 entry cost with no free tier or free trial to test before committing
- ACU-based pricing can be unpredictable — costs depend on task complexity and resource usage
- Advanced features like batch sessions and playbook automation are locked behind the Team plan or higher
- Requires trust in autonomous code changes — human review of Devin's output is still necessary
Cursor
Pros
- Multi-model support lets you choose from OpenAI, Anthropic, Gemini, xAI, and Cursor's own models
- Cloud agents run autonomously in isolated VMs, producing merge-ready PRs with video demos
- Deep codebase indexing provides context-aware suggestions regardless of project size
- Built on VS Code so existing extensions, keybindings, and settings transfer directly
- Bugbot automatically reviews PRs in GitHub and can auto-fix issues it finds
Cons
- Pricing can add up for large teams, with per-seat costs at $20-$40/month per user
- Heavy reliance on cloud-based AI models means limited offline functionality
- May require adjustment period for developers accustomed to traditional IDEs without AI
- Usage-based costs for premium model requests can exceed base subscription pricing
Our Verdict
Both Devin and Cursor are excellent choices with similar feature sets. Your decision should depend on your specific needs, pricing, and whether you need self-hosting capabilities.