Notes on Cursor Code Editor Lecture

Introduction to Cursor

• Cursor is a code editor similar to VS Code.
• Uses AI to help users code faster, suitable for beginners and experienced coders.
• Recent updates have changed the workflow for more efficient usage.

Getting Started with Cursor

• Download from cursor.com; it runs as a desktop application, not in the browser.
• Free plan includes a two-week Pro trial.
• Cursor interface is similar to VS Code:
  • Top Menu: File preferences and settings.
  • Left Panel: File explorer for navigating files and folders.
  • Middle Panel: Shows contents of the file being viewed, with autocomplete and AI features.
  • Bottom Panel: Terminal for executing commands; integrated AI capabilities.
  • Right Panel: AI chat panel, similar to ChatGPT but integrated with coding files.

AI Chat Panel Features

• Input box for prompts.
• Options for adding additional context.
• Mode Dropdown:
  • Agent Mode: For making code changes.
  • Ask Mode: For designing or asking questions.
• Model Dropdown for selecting AI models.
• Ability to add images, view chat history, and start new chats.

Coding with Cursor

• Example: Creating a basic landing page with React and Tailwind with voice commands.
• Cursor can automatically run terminal commands and troubleshoot errors.
• Ability to revert to previous versions of code using "restore checkpoint".
• AI can help explain code for learning purposes.

Advanced Features

• Start new chat for new features to avoid context overload.
• Ability to handle large codebases and modify across files.
• Tagging files for context aids in specific file modifications.

Context Management

• Tagging files, documentation, web searches, and images for context.

Additional AI Features in Cursor

• Autocomplete suggestions while coding manually.
• Inline code editor for specific changes.
• AI-generated terminal commands.

Further Cursor Features

• Uses .gitignore and cursor-ignore files for context management.
• cursor-rules file for custom instructions and context.
• Emerging support for MCPs (Modular Capability Protocols) for advanced integrations.

Conclusion

• Effective prompt crafting is crucial for maximizing Cursor's AI capabilities.
• Continuous iteration and feedback are key to utilizing AI effectively in coding.
• Further resources and tutorials are available for deeper understanding.