# Getting Started with Cursor AI
Getting Started with Cursor AI Here's your comprehensive guide to using Cursor AI effectively. Basic Commands /add - Add a new chat /clear - Clear current chat /help - Show command list /new - Start fresh workspace Code Generation Tips Cursor AI works best when you provide clear, specific instructions about what you want to build. Be specific about programming language Mention frameworks or libraries you want to use Specify any particular coding style or conventions Include relevant context about your project Best Practices Start with a clear problem statement Break complex tasks into smaller parts Review and test generated code Ask for explanations when needed Code Review Features Cursor AI can help review your code: Identify potential bugs Suggest optimizations Check for security issues Recommend best practices Troubleshooting Common Issues If AI generates incorrect code, try rephrasing your request For complex projects, provide more context If stuck, use /clear and start fresh Check your syntax when asking for specific languages Tips for Better Results To get the most out of Cursor AI: Use natural language Provide examples when possible Specify error handling requirements Ask for documentation when needed Keyboard Shortcuts Action Shortcut Generate Code Ctrl + K Accept Suggestion Tab Next Suggestion Alt + ] Previous Suggestion Alt + [ Getting the Best Results from Cursor AI How To Get The Best Results from Cursor AI Planning Cursor Directory(cursor.directory: Create and add a .cursorules file in the root of your project The instructions in the .cursorules file will be included for features such as Cursor Chat and CTRL+K. The more specific your rules for your project, the better. Tagging Docs Since AI models may have outdated information or default to older versions, tagging specific documentation helps ensure accuracy. Asking other AI If Cursor seems stuck, try consulting another AI model and share Cursor's failed attempts. Things Cursor AI is Great At: Documentation—writing code documentation is much easier now Explaining code & teaching Adding comments to code Duplicating existing code patterns

Getting Started with Cursor AI
Here's your comprehensive guide to using Cursor AI effectively.
Basic Commands
- /add - Add a new chat
- /clear - Clear current chat
- /help - Show command list
- /new - Start fresh workspace
Code Generation Tips
Cursor AI works best when you provide clear, specific instructions about what you want to build.
- Be specific about programming language
- Mention frameworks or libraries you want to use
- Specify any particular coding style or conventions
- Include relevant context about your project
Best Practices
- Start with a clear problem statement
- Break complex tasks into smaller parts
- Review and test generated code
- Ask for explanations when needed
Code Review Features
Cursor AI can help review your code:
- Identify potential bugs
- Suggest optimizations
- Check for security issues
- Recommend best practices
Troubleshooting
- Common Issues
- If AI generates incorrect code, try rephrasing your request
- For complex projects, provide more context
- If stuck, use /clear and start fresh
- Check your syntax when asking for specific languages
Tips for Better Results
To get the most out of Cursor AI:
- Use natural language
- Provide examples when possible
- Specify error handling requirements
- Ask for documentation when needed
Keyboard Shortcuts
Action | Shortcut |
---|---|
Generate Code | Ctrl + K |
Accept Suggestion | Tab |
Next Suggestion | Alt + ] |
Previous Suggestion | Alt + [ |
Getting the Best Results from Cursor AI
How To Get The Best Results from Cursor AI
Planning
- Cursor Directory(cursor.directory: Create and add a .cursorules file in the root of your project
The instructions in the .cursorules file will be included for features such as Cursor Chat and CTRL+K.
The more specific your rules for your project, the better.
Tagging Docs
Since AI models may have outdated information or default to older versions, tagging specific documentation helps ensure accuracy.
Asking other AI
If Cursor seems stuck, try consulting another AI model and share Cursor's failed attempts.
Things Cursor AI is Great At:
- Documentation—writing code documentation is much easier now
- Explaining code & teaching
- Adding comments to code
- Duplicating existing code patterns