coding
Cursor vs Lovable
A detailed side-by-side comparison to help you choose.
Cursor
AI-first code editor with inline chat, autocomplete, and codebase-aware assistance
8.3Excellent
Lovable
AI full-stack engineer that builds and deploys production-ready web apps from natural language descriptions
8.0Excellent
Our Verdict
We recommend Cursor
Both tools are excellent choices, but Cursor has a slight edge in our overall scoring.
Feature Comparison
| Feature | Cursor | Lovable |
|---|---|---|
| API Access | ||
| Plugins / Extensions | ||
| Image Generation | ||
| Code Execution | ||
| File Upload | ||
| Web Search | ||
| Max Context Window | 200K tokens | 128K tokens |
Pricing Comparison
| Tier | Cursor | Lovable |
|---|---|---|
| Hobby | Free 2000 completions, 50 slow premium requests/month | Free 5 messages/day, public projects only |
| Pro | $20 Unlimited completions, 500 fast premium requests | $20 100 messages/month, private projects, custom domains |
| Business | $40 Per user, centralized billing, SAML SSO, privacy mode | $50 500 messages/month, team collaboration, Supabase integration |
| Scale | — | $100 Unlimited messages, priority support, advanced features |
Score Breakdown
| Dimension | Cursor | Lovable |
|---|---|---|
| Ease of Use | 8.0 | 9.0 |
| Features | 9.0 | 8.0 |
| Value for Money | 9.0 | 8.0 |
| Support | 7.0 | 7.0 |
| Overall | 8.3 | 8.0 |
Pros & Cons
Cursor
Pros
- +Purpose-built IDE with AI deeply integrated throughout
- +Codebase-aware context — understands your entire project
- +Tab autocomplete is faster and smarter than GitHub Copilot
- +Supports Claude, GPT-4o, and other top models
Cons
- −Requires switching away from your existing IDE
- −Can be slow when processing large codebases
- −Free tier limits are restrictive for daily use
Lovable
Pros
- +Builds complete full-stack apps with auth, database, and UI
- +Native Supabase integration for backend and data storage
- +One-click deploy with instant public URL
- +GitHub sync lets developers extend and customize code
Cons
- −Message limits make extended projects expensive
- −Complex business logic often requires manual developer intervention
- −Generated code quality varies — review before production use