This guide outlines a practical approach to migrating your development workflow from GitHub Copilot to Cursor. While Copilot has become a staple for many, Cursor offers a more deeply integrated AI experience, providing an intelligent coding assistant that understands your entire codebase, not just the file you’re currently editing. We will cover the installation, configuration, and practical application of Cursor’s core features, helping you transition smoothly and use its advanced capabilities for a more efficient development cycle. This includes understanding Cursor’s AI chat, multi-file editing, and its ability to generate code with enhanced context awareness. We will also address common challenges and provide solutions to ensure a productive migration.

Prerequisites

Before we begin the migration, ensure you have the following:

  • An existing GitHub Copilot setup: While we’re moving away from it, familiarity with its operation provides a good baseline for comparison.
  • A Cursor account: You will need to sign up for a Cursor account and optionally subscribe to a paid plan or utilize the free tier’s capabilities.
  • Basic IDE familiarity: Experience with VS Code or JetBrains IDEs will make the transition to Cursor’s interface more intuitive, as Cursor is built on the VS Code engine.
  • An active internet connection: Cursor, like Copilot, relies on cloud-based AI models.
  • An existing project: Have a project ready to open and test with Cursor to immediately apply the learned concepts.

Step-by-step sections

Step 1: Install Cursor

  1. Download Cursor: Navigate to the official Cursor website (cursor.sh) and download the appropriate installer for your operating system (Windows, macOS, or Linux).
  2. Run the installer: Execute the downloaded file. Follow the on-screen prompts to complete the installation. On macOS, this typically involves dragging the Cursor application into your Applications folder. On Windows, it’s a standard .exe wizard.
  3. Launch Cursor and log in: Open Cursor. You will be prompted to log in with your Cursor account. Complete this step to activate your subscription and access AI features.

Step 2: Disable GitHub Copilot in your existing IDEs

To prevent conflicts and ensure Cursor’s AI suggestions are prioritized, disable Copilot in any other IDEs you use.

For VS Code:

  1. Open VS Code.
  2. Access the Extensions view: Click the Extensions icon in the Activity Bar on the side (it looks like four squares, one detached) or press Ctrl+Shift+X (Windows/Linux) / Cmd+Shift+X (macOS).
  3. Search for GitHub Copilot: In the search bar at the top of the Extensions view, type “GitHub Copilot”.
  4. Disable the extension: Locate the “GitHub Copilot” extension in the search results. Click the small gear icon next to its name, then select “Disable” or “Disable (Workspace)” if you only want to disable it for the current workspace. Optionally, you can also uninstall it by clicking the trash can icon.

For JetBrains IDEs (e.g., IntelliJ IDEA, PyCharm, WebStorm):

  1. Open your JetBrains IDE.
  2. Access Settings/Preferences: Go to File > Settings (Windows/Linux) or IntelliJ IDEA > Preferences (macOS).
  3. Navigate to Plugins: In the left-hand sidebar of the Settings/Preferences dialog, select Plugins.
  4. Search for GitHub Copilot: In the search bar within the Plugins window, type “GitHub Copilot”.
  5. Disable the plugin: Uncheck the box next to the “GitHub Copilot” plugin in the list.
  6. Apply and restart: Click “Apply” then “OK”. The IDE will prompt you to restart for the changes to take effect. Click “Restart Now”.

Step 3: Import your existing projects into Cursor

Cursor operates like a standard IDE, allowing you to open folders and workspaces.

  1. Open Cursor.
  2. Open your project folder: Go to File > Open Folder... (or File > Open Workspace... if you have a .code-workspace file).
  3. Navigate and select: Browse to the root directory of your existing project and click “Select Folder” (or “Open”).
  4. Initial indexing: Cursor will now open your project and begin indexing its files. This process allows Cursor’s AI to build a comprehensive understanding of your codebase, which is crucial for its advanced features.

Step 4: Configure Cursor’s AI settings and models

Optimizing Cursor’s AI settings can significantly impact performance and suggestion quality.

  1. Open Cursor Settings: Press Ctrl+, (Windows/Linux) or Cmd+, (macOS).
  2. Navigate to AI settings: In the left-hand sidebar of the Settings tab, click on AI.
  3. Model Selection:
  • Default Models: Cursor comes with several default models. Experiment with them based on your needs. GPT-4o or [Claude](/reviews/claude-code-review-2026-ai-coding-from-the-terminal/) generally provide the highest quality, while smaller models like Claude Haiku can be faster and more cost-effective for simpler tasks.
  • Custom API Keys: If you have your own API keys for OpenAI, Anthropic, or other providers, you can enter them here to use those models directly, potentially bypassing Cursor’s rate limits or utilizing specific model versions.
  • Click Add API Key... and select your provider.
  • Enter your API key and save.
  • You can then select your custom model from the dropdown.
  1. Context Window: Adjust the context window size. A larger context window allows the AI to consider more of your codebase, but can increase latency and cost. For most projects, the default is a good starting point.
  2. Custom Instructions (Optional but Recommended):
  • Scroll down to the Custom Instructions section.
  • Click Edit. Here, you can provide high-level instructions to the AI that will apply to all your interactions. This is useful for defining your preferred coding style, specific project conventions, or security considerations.
  • Example:
       You are an expert TypeScript developer.
       Always prioritize type safety and immutability.
       When refactoring, aim for clear, readable code and provide JSDoc comments for all exported functions.
       Assume a Node.js environment.
       ```
* Save your changes.

### Step 5: Familiarize yourself with Cursor's core AI features

Cursor's AI is deeply integrated into the editing experience.

1. **AI Chat (`Ctrl+L` / `Cmd+L`):**
* Open the AI Chat panel by pressing `Ctrl+L` (Windows/Linux) or `Cmd+L` (macOS).
* **Ask questions about your codebase:** The chat is context-aware. You can ask questions about open files, selected code, or even the entire project.
* **Example 1 (current file):**

        Explain the purpose of the `processOrder` function in this file.
        ```
  • Example 2 (specific file):
           What are the main dependencies used in `@package.json`?
           ```
* **Example 3 (selected code):** Select a block of code and then ask:

        Can you simplify this logic using a more functional approach?
        ```
  1. AI Edit (Ctrl+K / Cmd+K):
  • Invoke AI Edit: Select a block of code in your editor. Press Ctrl+K (Windows/Linux) or Cmd+K (macOS). A prompt box will appear above the selected code.
  • Provide instructions: Type your desired change.
  • Example 1 (refactor):
           Refactor this `for` loop to use `Array.prototype.map` instead.
           ```
* **Example 2 (add comments):**

        Add JSDoc comments to this function, explaining its parameters and return value.
        ```
  • Review and accept/reject: Cursor will generate a diff view showing the proposed changes. Review the changes carefully.
  • Click Accept to apply the changes.
  • Click Reject to discard them.
  • You can also Edit the AI’s suggestion or Regenerate it with a refined prompt.
  1. Generate (Ghost Text):
  • This is Cursor’s equivalent of Copilot’s inline suggestions. Start typing code or comments.
  • Cursor will display greyed-out “ghost text” suggestions.
  • Accept suggestion: Press Tab.
  • Dismiss suggestion: Continue typing or press Esc.
  • Context awareness: Cursor’s ghost text is significantly more context-aware than Copilot. It uses your entire codebase, not just nearby files.
  • Example: If you have an interface defined in src/types.ts and you start typing a function that uses it in src/api.ts, Cursor will likely suggest relevant code based on that interface.
  • Explicit context with @: When typing in the editor or AI Chat, you can explicitly reference files, symbols, or even URLs using the @ symbol. This tells the AI exactly what context to consider.
  • Example in editor:
           // Implement the `getUserProfile` function using the `User` interface from @src/types.ts
           ```
* **Example in chat:**

        How should I update the `renderItem` component in `@src/components/ItemList.tsx` to handle the new `isLoading` prop from `@src/hooks/useDataFetch.ts`?
        ```

Step 6: use advanced features for deeper integration

Cursor truly shines with its ability to work across multiple files and integrate with your workflow.

  1. Multi-file Editing with Ctrl+K / Cmd+K:
  • This is a powerful extension of the AI Edit feature. Instead of just editing selected code, you can bring other files into the AI’s context for broader changes.
  • Process: Select some code, press Ctrl+K, and then in the prompt box, type @ to bring up a list of files or symbols. Select the relevant files.
  • Real-world use case:
  • Problem: You need to add a new field to a database schema, update the corresponding ORM model, and adjust an API endpoint to use this new field.
  • Action: Select the schema.sql file content, press Ctrl+K, and then type:
           Add a `last_login_date` column to the `users` table, of type `DATETIME`. Then, update the `User` interface in `@src/types.ts` to include `lastLoginDate: Date;` and modify the `getUser` function in `@src/api/users.ts` to fetch and return this new field.
           ```
* Cursor will present a multi-file diff, showing changes across all referenced files.
2. **Custom Prompts (Recipes):**
* You can save frequently used prompts as "recipes" for quick access.
* **Save a prompt:** After typing a prompt in the AI Chat or `Ctrl+K` box, open the Command Palette (`Ctrl+Shift+P` / `Cmd+Shift+P`) and search for "Save Current Prompt". Give it a descriptive name.
* **Use a saved prompt:** Invoke `Ctrl+K` or `Ctrl+L`, then type `/` to bring up your saved prompts.
* **Use case:** Create recipes for "Generate JSDoc comments", "Review for security vulnerabilities", "Refactor to modern ES syntax", etc.
3. **AI-powered Git Commits:**
* Cursor integrates AI directly into your Git workflow.
* **Access Source Control:** Click the Source Control icon in the Activity Bar (`Ctrl+Shift+G` / `Cmd+Shift+G`).
* **Stage changes:** Stage your changed files as usual.
* **Generate Commit Message:** Instead of manually typing a commit message, click the "Commit with AI" button (it often looks like a magic wand or a robot icon). Cursor will analyze your staged changes and suggest a concise, descriptive commit message.
* **Review and Commit:** Review the generated message, make any necessary adjustments, and then click "Commit".

## Common Issues

* **Performance and Resource Usage:** Cursor can be more resource-intensive than a vanilla IDE, especially with large codebases or complex AI queries.
* **Solution:** Ensure your machine meets recommended specs. Close unnecessary applications. Consider using a faster, smaller AI model for ghost text if you find latency unacceptable. For very large projects, you might need to adjust the `Context Window` settings to be more conservative.
* **AI Hallucinations and Incorrect Suggestions:** No AI is perfect. Cursor may occasionally provide incorrect or nonsensical suggestions.
* **Solution:** Always review AI-generated code carefully. Treat AI suggestions as a highly intelligent assistant, not an infallible authority. When the AI struggles, provide more explicit context using `@` references. Refine your prompts to be clearer and more specific.
* **Context Window Limits:** While Cursor excels at codebase awareness, there are practical limits to how much context an AI model can process in one go. Very broad or vague multi-file requests might exceed these limits.
* **Solution:** Break down complex tasks into smaller, more manageable AI interactions. Explicitly reference only the most relevant files and symbols with `@`. If you're asking a question about a specific function, open that file and select the function first.
* **Subscription/API Key Issues:** Problems with AI features often stem from subscription status or incorrect API key configurations.
* **Solution:** Double-check your Cursor account status. If using custom API keys, ensure they are correctly entered and that your account with the provider (e.g., OpenAI, Anthropic) is active and has sufficient credits. Check for rate limit errors in the Cursor output logs (accessible via `Help > Toggle Developer Tools` and then the `Console` tab).
* **Integration with Specific Extensions:** Cursor is built on VS Code, so most VS Code extensions are compatible. However, a few niche extensions might behave unexpectedly.
* **Solution:** If you encounter issues with a specific extension, try disabling it temporarily to see if it resolves the problem. Report any persistent compatibility issues to the Cursor community or support.
* **Learning Curve for New Workflows:** Migrating from a traditional IDE or even Copilot to Cursor's AI-first approach requires adjusting your mental model of coding.
* **Solution:** Be patient. Spend time actively experimenting with `Ctrl+K`, `Ctrl+L`, and the `@` symbol. The more you use these features, the more intuitive they become. The Cursor documentation and community are excellent resources.

## Next Steps

Once you're comfortable with the basics of migrating to and using Cursor, consider exploring these advanced areas to further enhance your workflow:

* **Master Cursor's Keybindings:** Dive into Cursor's `Keyboard Shortcuts` (`Ctrl+K Ctrl+S` or `Cmd+K Cmd+S`) and customize them to fit your muscle memory. Efficient keybindings are crucial for productivity.
* **Refine Custom Instructions:** Continuously iterate on your `Custom Instructions` in the AI settings. As you identify recurring patterns or specific coding standards for your projects, embed them into these instructions to guide the AI more effectively.
* **Experiment with Different AI Models:** Don't stick to just one model. Different models excel at different tasks. A smaller, faster model might be ideal for quick ghost text suggestions, while a larger, more capable model (like GPT-4o or Claude) might be better for complex refactoring or multi-file edits.
* **Deep Dive into `Recipes`:** Beyond simple custom prompts, explore creating more complex "recipes" that chain together multiple AI actions or incorporate specific project knowledge. This can automate highly repetitive tasks.
* **Engage with the Cursor Community:** Join the official Cursor Discord server or forums. This is an excellent place to ask questions, share tips, discover new workflows, and stay updated on the latest features.
* **Explore AI-Powered Debugging:** Cursor is continually evolving. Keep an eye out for features that integrate AI into debugging processes, helping you understand error messages and suggest fixes more efficiently.

## Recommended Reading

*Deepen your skills with these highly-rated books. Links go to Amazon — as an affiliate, we may earn a small commission at no extra cost to you.*

- [The Pragmatic Programmer](https://www.amazon.com/s?k=pragmatic+programmer+hunt+thomas&tag=devtoolbox-20) by Hunt & Thomas
- [Clean Code](https://www.amazon.com/s?k=clean+code+robert+martin&tag=devtoolbox-20) by Robert C. Martin