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Install Cursor
- Download: Visit cursor.so and download the latest version suitable for your OS.
- Installation: Follow the on-screen instructions to install Cursor on your machine.
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Create an Account
- Sign Up: Register for a free account on the Cursor website.
- Verify Email: Complete the email verification process to activate your account.
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Open a Project
- File Navigation: Click on
File > Open Folder. - Select Folder: Choose the project directory you wish to work on.
- File Navigation: Click on
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Start Coding
- AI Assistance: Begin typing your code and experience real-time AI-assisted suggestions and completions.
- Explore Features: Familiarize yourself with core features like AI Chat Assistant and Smart Code Search.
Quick Start Guide
Pricing Tiers
Choose the plan that best fits your needs:
| Plan | Features | Price |
|---|---|---|
| Free Tier |
|
$0/month |
| Pro Plan |
|
$20/month |
| Enterprise Plan |
|
$40/month |
Planning and Preparation
1. Visualize Your Project
- Tools: Utilize Figma, Paint, or even hand-drawn sketches to conceptualize your project.
- Layout: Create rough wireframes to outline the structure and flow.
- Features: Define the main features and functionalities you aim to implement.
2. Choose Your Tech Stack
- Selection: Decide on the technologies that best suit your project (e.g., NextJS, React, Python).
- Documentation: Gather and bookmark necessary documentation links for reference.
3. Initialize Cursor Rules
- Visit: Go to cursor.directory for a variety of prompts.
- Create File: In your project root, create a
cursor.rulesfile. - Paste Prompts: Insert relevant prompts to customize Cursor's behavior to your needs.
4. Add Documentation to Cursor
- Click on the "Add" button.
- Select "Docs" from the dropdown.
- Add URLs linking to your tech stack's documentation.
Benefit: Enhances Cursor's understanding and accuracy in providing code suggestions.
Core Features
1. AI Code Completion (Cursor Tab)
Usage: Begin typing your code, and press Tab to auto-complete.
# Start typing:
def calculate_average(
# Press Tab to complete:
def calculate_average(numbers):
return sum(numbers) / len(numbers)
Pro Tips:
- Comments & Pseudocode: Write comments or pseudocode, then use Tab to generate full functions.
- Data Manipulation: Provide sample end result structures to guide Cursor's suggestions.
2. AI Chat Assistant (Cursor Chat)
Shortcut:
- Windows/Linux:
Ctrl + L - Mac:
Cmd + L
Best Practices:
- @Codebase: Reference your entire project.
- @FileName: Include specific files for targeted assistance.
- Specific Queries: Ask clear and specific questions about your code.
- @Docs & @web: Incorporate external documentation or examples for more context.
Example Interaction:
Human: @Codebase Explain the authentication flow in our app
AI: Based on your codebase, your authentication flow works as follows:
1. User enters credentials in LoginComponent
2. AuthService.login() sends a POST request to /api/login
3. Server validates credentials and returns a JWT token
4. Token is stored in localStorage
5. AuthGuard checks for token presence on protected routes
3. AI Command Execution (Cursor Cmd K)
Shortcut:
- Mac:
Cmd + K - Windows/Linux:
Ctrl + K
Use Cases:
- Generate New Code: "Create a React component for a user profile card."
- Modify Existing Code: "Refactor this function to use async/await instead of promises."
- Code Inquiries: "What's the time complexity of this sorting algorithm?"
4. Multi-File Editing (Cursor Composer)
Shortcut:
- Mac:
Cmd + Shift + L - Windows/Linux:
Ctrl + Shift + L
Best Practices:
- Detailed Descriptions: Clearly describe the desired functionality.
- Include Relevant Files: Provide necessary files in your prompt for context.
- Review Generated Code: Always verify and understand the code Cursor generates.
Pro Tips:
- Apply Changes: Use "Apply" then
Cmd + Shift + S(Save All) to test changes before accepting. - Reset Composer: Use
Cmd + Rto start fresh if needed.
5. Image-to-Code Generation
Steps:
- Capture Design: Take a screenshot of your UI design.
- Paste Image: Insert the image into Cursor.
- Describe Output: Specify the desired output and data sources.
- Refine Code: Review and adjust the generated code for accuracy.
Example: Converting a UI mockup to React components with Tailwind CSS.
6. Smart Code Search
Steps:
- Open Sidebar: Access the search sidebar in Cursor.
- Enter Query: Type your query related to the codebase.
- Execute Search: Press
Ctrl + Enterto initiate the search. - Review Results: Browse through the results showing relevant file locations.
Example: "Where in my codebase does the CCK token get set?"
Advanced Techniques
1. Model Selection
- Experiment: Try different AI models like Claude or GPT-4 to determine which suits your needs best.
- Note: Currently, GPT-4 is the only model capable of executing scripts within Cursor.
2. Handling Large Files
Strategy: For files exceeding 500 lines, manually copy/paste code snippets as Cursor may struggle to scan extensive files efficiently.
3. Project Generation
- Use Composer: Utilize the Composer feature to generate starter projects.
- Experimentation: Test various prompts and models to achieve optimal results for your project setup.
4. Custom Templates
- Create Starter Kits: Develop your own templates with commonly used features like authentication and database setups.
- Time-Saving: Use these templates as a foundation for new projects to accelerate development.
Running Your Project
1. Installing Dependencies
- Open Terminal: Access your project's terminal.
- Navigate: Move to your project directory with
cd your-project-directory. - Install Packages:
- Run
npm installto install all necessary dependencies. - For React projects, run
npm install react-scriptsif not already included.
- Run
2. Launching the Application
- Ensure Directory: Confirm you're in the correct project directory.
- Start Server: Execute
npm startto launch the application. - Access Application: Open your web browser and navigate to
http://localhost:3000.
Real-Time Code Editing
Enhance your coding efficiency with real-time updates:
- Edit Code: Make changes directly in the Cursor AI editor.
- Save Changes: Press
Cmd + S(Mac) orCtrl + S(Windows/Linux) to save. - View Updates: Instantly see changes reflected in your browser without manual refreshes.
Best Practices
1. Iterative Development
- Start Small: Begin with basic feature implementations.
- Refine Continuously: Expand and enhance features through multiple AI interactions.
2. Code Review
- Always Review: Examine AI-generated code for accuracy and efficiency.
- Manual Adjustments: Modify code as necessary to meet project standards.
3. Context Management
- New Sessions: Initiate fresh chat sessions for complex changes.
- Clear Explanations: Provide detailed context and desired outcomes.
4. File Tagging
- Specific Targeting: Tag particular files to guide Cursor in making relevant changes.
- Enhanced Understanding: Helps AI grasp the context and scope of modifications.
5. Refactoring
- Clean Code: Use AI to suggest improvements and cleaner code structures.
- Function Focus: Break down large functions into smaller, more manageable ones.
6. UI Development
- Prototyping: Utilize image-to-code for swift UI prototypes.
- Production-Ready: Refine and optimize generated code for deployment.
7. Learning Opportunity
- Analyze Code: Study AI-generated code to learn new techniques and practices.
- Experiment: Try different ways to articulate your needs for varied outcomes.
8. Continuous Documentation
- Explain Code: Regularly ask Cursor to explain code snippets and add comments.
- Maintain Clarity: Ensures your codebase remains clear and understandable as it grows.
Troubleshooting
1. Inconsistent AI Responses
Solution: Start a new chat session to refresh the context and obtain accurate responses.
2. Composer Errors
Action: Revert recent changes and use the Chat Assistant for more targeted modifications.
3. Incorrect Code Generation
Improvement:
- Provide more detailed instructions or context.
- Break down complex requests into smaller, manageable steps.
4. Cursor Gets Stuck
Steps:
- Copy the problematic code or error message.
- Paste it into another AI model (e.g., Claude, ChatGPT).
- Include previous solutions that didn't work.
- Request a new approach to resolving the issue.
5. Learning from Errors
- Opportunity: Use error messages as a chance to learn and improve.
- Ask for Help: Request Cursor to explain the error and suggest possible fixes.
Key Takeaways
- Maximize Productivity: Leverage Cursor's AI features to speed up coding and reduce errors.
- Stay Organized: Utilize planning and preparation strategies to maintain a clear development roadmap.
- Continuous Learning: Use AI-generated code as a learning tool to enhance your coding skills.
- Best Practices: Adopt iterative development, thorough code reviews, and efficient context management for optimal results.
- Troubleshooting: Equip yourself with strategies to swiftly resolve common issues and maintain smooth workflow.