How to Use GitHub Copilot to Boost Code Efficiency in 2 Hours

If you're like me, you’ve probably spent countless hours wrestling with code, trying to remember syntax or writing boilerplate that feels like a waste of time. Enter GitHub Copilot, an AI-powered coding assistant that promises to streamline your development process. In this guide, I’ll show you how to leverage GitHub Copilot effectively in just 2 hours, boosting your coding efficiency while avoiding common pitfalls.

Prerequisites: Tools and Setup

Before you dive in, make sure you have the following:

• GitHub Account: Free to create, necessary to access Copilot.
• Visual Studio Code: The most common IDE where Copilot is integrated.
• GitHub Copilot Subscription: $10/month after a 60-day free trial. Note that pricing might change, but as of February 2026, this is the current rate.
• Basic Coding Knowledge: Familiarity with at least one programming language (JavaScript, Python, etc.).

Step 1: Install GitHub Copilot

1. Open Visual Studio Code: Launch the IDE where you plan to code.
2. Access Extensions: Click on the Extensions icon in the Activity Bar on the side.
3. Search for GitHub Copilot: Type “GitHub Copilot” in the search bar.
4. Install the Extension: Click on the Install button and authorize it with your GitHub account.

Expected Output: You should see the Copilot icon in the status bar once installed.

Step 2: Configure Copilot Settings

1. Open Settings: Go to File > Preferences > Settings.
2. Search for Copilot: Type “Copilot” in the search bar.
3. Adjust Preferences: Set preferences based on your coding style (e.g., enable auto-suggestions, adjust the suggestion frequency).

Expected Output: Copilot should now be tailored to your coding habits.

Step 3: Start Coding with Copilot

1. Open a New File: Start a new project or open an existing one.
2. Begin Writing Code: Start typing a function or comment about what you want to achieve.
3. Accept Suggestions: Copilot will suggest code snippets. Use the Tab key to accept or the arrow keys to cycle through options.

Expected Output: You should see code snippets that fill in your functions or even complete entire files based on your comments.

Troubleshooting: What Could Go Wrong

• No Suggestions Appearing: Ensure you’re connected to the internet and logged into GitHub.
• Irrelevant Suggestions: Provide more context in your comments for better results. For example, instead of “create a function,” use “create a function to fetch user data from an API.”
• Frequent Errors: Remember, Copilot is not perfect. Always review the code suggestions and test thoroughly.

What's Next: Advanced Usage and Tips

Once you’re comfortable with the basics, consider these advanced tips:

• Use Copilot for Tests: Write tests faster by letting Copilot suggest test cases based on your functions.
• Pair Programming: Think of Copilot as a coding partner that can help you brainstorm solutions.
• Explore New Languages: Try using Copilot with a language you’re less familiar with to learn as you code.

Conclusion: Start Here for Efficiency

Using GitHub Copilot can drastically improve your coding efficiency, but it’s not a silver bullet. It’s a tool that requires your input and guidance. Start by following the steps above and give yourself a couple of hours to get familiar with its capabilities.

Our Recommendation: If you're a solo founder or indie hacker, investing in GitHub Copilot at $10/month is worthwhile for the time it saves, especially if you often find yourself stuck on syntax or boilerplate code.

What We Actually Use

In our stack, we rely heavily on GitHub Copilot for rapid prototyping and test generation. It cuts down our coding time significantly, allowing us to focus on building features rather than getting bogged down in minutiae.