GitHub Copilot in JetBrains IDEs: Complete Setup and Feature Guide

If you're developing in a JetBrains IDE—whether [IntelliJ IDEA](https://www.jetbrains.com/idea/), [PyCharm](https://www.jetbrains.com/pycharm/), [Rider](https://www.jetbrains.com/rider/), [WebStorm](https://www.jetbrains.com/webstorm/), or [PhpStorm](https://www.jetbrains.com/phpstorm/)—you're in for a treat. [GitHub Copilot](https://github.com/features/copilot) brings powerful AI-assisted coding directly into your favorite JetBrains environment. From inline code suggestions to conversational chat assistance, Copilot integrates seamlessly with your existing workflow. This guide walks you through installation, setup, and mastering Copilot's features in JetBrains IDEs.

Why GitHub Copilot in JetBrains?

[JetBrains](https://www.jetbrains.com/) IDEs are beloved by developers worldwide for their intelligence, speed, and feature-richness. Adding GitHub Copilot amplifies these strengths:

• Intelligent Suggestions: Copilot learns from your codebase and provides context-aware completions.
• Multi-Language Support: Works seamlessly with Python, Java, C#, Go, TypeScript, JavaScript, and dozens more.
• Unified Experience: Copilot integrates naturally alongside JetBrains' built-in refactoring, analysis, and navigation tools.
• Free Plan Available: As of 2025, all users can access Copilot's free plan with 2,000 code completions and 50 chat requests monthly—no paid subscription required.

Step-by-Step Installation

Prerequisites

Before you start, make sure you have:

• A supported JetBrains IDE (IntelliJ IDEA, PyCharm, WebStorm, Rider, PhpStorm, [Android Studio](https://developer.android.com/studio), or others)
• JetBrains IDE version 2021.3 or later (newer versions are recommended for best compatibility)
• A [GitHub account](https://github.com/signup) (free or paid)
• Internet access

Installation Process

1. Open Your JetBrains IDE

2. Navigate to the Plugins Marketplace

   • Windows/Linux: Go to File > Settings > Plugins
   • macOS: Go to IntelliJ IDEA > Preferences > Plugins

3. Search for GitHub Copilot

   • In the Plugins dialog, click the "Marketplace" tab
   • Search for "GitHub Copilot"
   • Look for the official plugin with GitHub's logo

4. Install the Plugin

   • Click the Install button next to the GitHub Copilot plugin
   • Wait for the download and installation to complete

5. Restart Your IDE

   • Click the Restart IDE button when prompted
   • Your IDE will restart and activate the plugin

6. Authenticate with GitHub

   • After restart, look for the Copilot icon (usually in the bottom-right status bar or tool window bar)
   • Click the icon—a browser window will open
   • Sign in with your GitHub account and authorize Copilot
   • Return to your IDE; you're now authenticated and ready to use Copilot

Optional: Configure Settings

Once installed, you can customize Copilot's behavior:

1. Open File > Settings > Languages & Frameworks > GitHub Copilot (Windows/Linux) or Preferences > Languages & Frameworks > GitHub Copilot (macOS)

2. Here you can:

   • Enable/Disable by Language: Turn Copilot on or off for specific languages
   • Adjust Suggestion Delay: Control how quickly suggestions appear
   • Customize Key Bindings: Change keyboard shortcuts for accepting/rejecting suggestions
   • Enable/Disable Auto-Suggestion: Choose whether Copilot shows suggestions automatically or only when requested

Core Features Explained

1. Inline Code Suggestions (Code Completions)

Inline suggestions are Copilot's bread and butter. As you type, Copilot predicts what you're about to write and shows a greyed-out suggestion.

How to Use:

• Start typing a function, class, or any code block
• Wait a moment, and Copilot will suggest a completion
• Press Tab to accept the suggestion
• Press Escape to dismiss it
• Press Alt + \ (Windows/Linux) or ⌥ \ (macOS) to explicitly request a suggestion

Pro Tip: Write descriptive comments above your code. Copilot uses comments to understand your intent and generate more accurate suggestions.

# Function to calculate the factorial of a number
def factorial(n):
    # Copilot will suggest the implementation here

2. Copilot Chat

Copilot Chat brings conversational AI assistance directly into your IDE. Ask questions, request explanations, generate tests, debug issues, and more—all without leaving your editor.

How to Access:

• Click the Copilot Chat icon (usually on the right sidebar or in the tool window bar)
• A chat panel opens alongside your code

What You Can Do:

• Ask for Code Explanations: "What does this function do?"
• Generate Code: "Write a function that validates email addresses"
• Create Tests: "Generate unit tests for this class"
• Debug Issues: "Why is this code throwing a null reference exception?"
• Refactor Code: "How can I improve this function's performance?"

Example Chat Interaction:

You: "Explain the sorting algorithm in this file"
Copilot: [Provides a clear explanation of the algorithm and suggests improvements]

Reference Code in Chat:

• Highlight a code block and ask a question about it
• Use context-aware questions: "Write tests for this function"
• Copilot will use the selected code to provide relevant, targeted responses

3. Slash Commands

Copilot Chat supports slash commands for quick, focused tasks:

• /explain: Ask Copilot to explain the selected code
• /tests: Generate unit tests for the selected code
• /fix: Ask Copilot to fix a bug or issue
• /doc: Generate documentation or docstrings
• /new: Create a new code file or component

Simply type a slash command followed by your request in the Copilot Chat panel.

Real-World Use Cases

Use Case 1: Building a Function from Scratch

You're starting a new function to parse CSV files. Instead of typing everything manually:

1. Write a descriptive comment:

   # Function to parse a CSV file and return a list of dictionaries
   def parse_csv(file_path):
   

2. Copilot suggests the implementation

3. Review the suggestion, accept it with Tab, and move forward

Use Case 2: Refactoring Legacy Code

You have a messy function that needs improvement:

1. Highlight the function
2. Open Copilot Chat and ask: "Refactor this function to be more readable and efficient"
3. Copilot suggests improvements
4. Apply the changes

Use Case 3: Testing

Generate unit tests for your code:

@Test
public void testUserCreation() {
    // Copilot helps you write assertions and test logic
}

Use Case 4: Documentation and Comments

Ask Copilot to generate docstrings:

def calculate_average(numbers):
    """
    # Ask Copilot: "Write a comprehensive docstring for this function"
    # Copilot generates parameter descriptions and return type documentation
    """

Free Plan vs. Paid Plans

Free Plan (2025)

• 2,000 code completions per month
• 50 chat requests per month
• 64KB context window
• Available for individual developers
• Extra benefits for students and teachers

Copilot Pro ($20/month)

• Unlimited code completions
• Unlimited chat requests
• Larger context window
• Priority support
• Early access to new features

Copilot Business/Enterprise

• Team management and insights
• Organization-wide policies
• Advanced security and compliance features
• Dedicated support

Choose the plan that fits your usage and team size.

Best Practices and Recommendations

1. Review All Suggestions

Always read and understand Copilot's code before accepting it. Copilot is powerful but not infallible—security and logic errors can slip through.

2. Use Comments as Your Interface

Write clear, specific comments. Copilot responds to your intent, so detailed comments lead to better suggestions.

3. Combine with Code Review

Copilot is a productivity tool, not a replacement for code review. Have teammates review Copilot-generated code during pull requests.

4. Test Generated Code

Don't assume generated code works. Write tests to verify behavior, especially for critical paths.

5. Customize Your Copilot Settings

Spend time configuring Copilot to match your workflow. Adjust suggestion delays, key bindings, and language-specific settings.

6. Use Copilot for Learning

Ask Copilot Chat to explain algorithms, design patterns, or unfamiliar code. It's a great learning resource.

Troubleshooting Common Issues

Copilot Icon Not Showing

• Restart your IDE
• Check that you're signed in to GitHub (File > Settings > Tools > GitHub Copilot, click "Sign In")
• Ensure the plugin is enabled (File > Settings > Plugins, search GitHub Copilot, confirm it's checked)

Suggestions Not Appearing

• Verify Copilot is enabled for your language (File > Settings > Languages & Frameworks > GitHub Copilot)
• Check your internet connection
• Try explicitly requesting a suggestion (Alt + \ on Windows/Linux, ⌥ \ on macOS)

Authentication Issues

• Log out and log back in (click the Copilot icon and select "Sign Out")
• Clear your IDE's authentication cache
• Restart your IDE

Poor Suggestion Quality

• Write more descriptive comments
• Ensure your codebase is well-organized and readable
• Check that Copilot has enough context (surrounding code, function signatures)

What's Next?

Now that you've set up Copilot in your JetBrains IDE, you're ready to accelerate your development. Here are some next steps:

1. Experiment with Inline Suggestions: Start with small, simple tasks to get comfortable with Copilot's workflow
2. Try Copilot Chat: Ask it questions about your code; you'll be surprised at how helpful it is
3. Explore Keyboard Shortcuts: Memorize the key bindings to speed up your workflow
4. Read the Copilot Documentation: GitHub's official docs have advanced tips and best practices
5. Share with Your Team: If your team uses JetBrains, introduce them to Copilot and create shared best practices

Recap

GitHub Copilot in JetBrains IDEs is a game-changer for developers. Whether you're using IntelliJ IDEA, PyCharm, Rider, WebStorm, or any other JetBrains IDE, Copilot integrates seamlessly to boost productivity.

Key Takeaways:

• Installation takes just a few clicks; authentication is straightforward
• Inline suggestions and Copilot Chat are your primary tools
• The free plan is generous for individual developers
• JetBrains' built-in intelligence pairs beautifully with Copilot
• Clear comments and code review practices maximize Copilot's value

Start with small tasks, explore the features, and you'll quickly find yourself working faster and enjoying development more. Welcome to the future of coding in JetBrains IDEs.

Series Note: This is Part 1 of the "Copilot Across IDEs" series. In upcoming articles, we'll explore GitHub Copilot in [VS Code](https://code.visualstudio.com/), [Visual Studio](https://visualstudio.microsoft.com/), and Vim/Neovim. Each IDE has unique strengths—stay tuned to master Copilot in your preferred environment.