TL;DR: Cursor is the AI-native editor for Western developers, with superior Claude/GPT-4 integration and the best AI chat experience. Trae is the Chinese-first alternative with excellent bilingual support, native understanding of Chinese code comments, and strong integration with Chinese dev tools. Cursor: $20/mo. Trae: free + affordable tiers. Try Trae at Trae | View tool page
AI Code Editors: East vs West
Cursor revolutionized coding by building an editor around AI from day one. Trae (by Zhipu AI / GLM team) brings the same vision to Chinese developers with native bilingual support. Both are VS Code forks with deep AI integration. But they serve different ecosystems.
Core Features Comparison
| Feature | Cursor | Trae | Winner |
|---|---|---|---|
| AI chat in editor | Excellent (GPT-4, Claude) | Excellent (GLM-4, DeepSeek) | Tie |
| Inline completions | Excellent | Very good | Cursor |
| Codebase context | Best in class (@-mentions) | Good (file references) | Cursor |
| Multi-file editing | Excellent (Composer) | Good | Cursor |
| Chinese language support | Basic (translated UI) | Native (comments, docs, AI) | Trae |
| Bilingual coding | Good | Excellent (CN/EN native) | Trae |
| Speed | Fast | Fast | Tie |
| Extension ecosystem | VS Code extensions | VS Code extensions | Tie |
Real Coding Experience
Test 1: Generate New Feature (Python Flask API)
Task: "Add user authentication with JWT tokens to this Flask API"
Cursor: Used Composer mode to edit multiple files. Added routes, middleware, and helper functions across 4 files in one go. Code was production-ready. 9/10.
Trae: Generated the auth logic file by file. Quality was excellent but required more manual file switching. 8/10.
Winner: Cursor (multi-file Composer)
Test 2: Debug with Chinese Error Messages
Task: Code had errors with Chinese stack trace and comments in Chinese
Cursor: Could parse the error but sometimes misunderstood nuances in Chinese comments. Suggested fix was correct but generic.
Trae: Understood the Chinese context perfectly. Fix addressed both the error and the intent described in Chinese comments. 9/10.
Winner: Trae (native Chinese understanding)
Test 3: Refactor Complex JavaScript
Task: "Refactor this callback hell into async/await and add error handling"
Cursor: Perfect refactor. Added try-catch, preserved logic, improved variable naming. 9.5/10.
Trae: Also excellent refactor. Same quality as Cursor. 9/10.
Winner: Tie
Test 4: Write Chinese Documentation
Task: "Generate Chinese API documentation for this codebase"
Cursor: Generated documentation in Chinese. Functional but read like a translation. Some technical terms felt unnatural.
Trae: Native-quality Chinese documentation. Natural phrasing, correct technical terminology for Chinese dev community.
Winner: Trae (native Chinese docs)
AI Models Available
| Models | Cursor | Trae |
|---|---|---|
| Default AI | GPT-4o, Claude Sonnet | GLM-4, DeepSeek |
| Fast model | GPT-4o-mini | GLM-4-Flash |
| Reasoning model | GPT-o1 (preview) | DeepSeek R1 |
| Custom models | API key support | API key support |
| Model switching | Easy (dropdown) | Easy (dropdown) |
Developer Experience
| Aspect | Cursor | Trae |
|---|---|---|
| Learning curve | Easy (if you know VS Code) | Easy (if you know VS Code) |
| Keyboard shortcuts | Cmd+K for chat (intuitive) | Similar shortcuts |
| Codebase indexing | Automatic, excellent | Good |
| Git integration | Native VS Code | Native VS Code |
| Remote development | Yes (SSH, containers) | Yes |
| Team collaboration | Cursor for Teams features | Basic team support |
Pricing
| Plan | Cursor | Trae |
|---|---|---|
| Free tier | Limited (200 completions) | Generous free tier |
| Pro/Personal | $20/mo (unlimited basic) | ~$10/mo (generous limits) |
| Team | $40/user/mo | Contact for pricing |
| API costs | Included in Pro | Included in paid tiers |
When to Choose Cursor
- English-primary development environment
- Need the best multi-file AI editing (Composer)
- Want access to latest GPT/Claude models
- Team collaboration features matter
- Western tech stack and ecosystems
- Can afford $20/mo per developer
When to Choose Trae
- Bilingual Chinese-English development
- Chinese code comments and documentation
- Working in Chinese dev ecosystems
- Team primarily speaks Chinese
- Budget-conscious (free tier is good)
- Want native access to Chinese AI models (GLM, DeepSeek)
Can You Use Both?
Switching between editors has friction (settings, extensions, muscle memory). Most developers pick one. But you could use Cursor for English projects and Trae for Chinese projects if needed.
Frequently Asked Questions
Can I use Trae outside China?
Yes. Trae is globally accessible. Interface supports English. The main advantage (Chinese language AI) matters most for bilingual developers. Visit Trae to try.
Do I still need GitHub Copilot?
Both Cursor and Trae have built-in AI completion, so GitHub Copilot becomes redundant. Some developers use Copilot in regular VS Code and save money on dedicated AI editors.
Which editor will my VS Code extensions work with?
Both are VS Code forks. Most extensions work. Some with deep VS Code API dependencies may have issues. Test your critical extensions before committing.
Try These Tools
- Try Trae — Chinese-first AI editor | View tool page
- Try Cursor — AI-native editor | View tool page
- Try GitHub Copilot — Alternative approach | View tool page
