How to Use GitHub Copilot for Increased Productivity in 60 Minutes (2026)

If you're like most indie hackers or side project builders, you know the struggle of getting stuck on coding problems. Enter GitHub Copilot, a tool that promises to supercharge your productivity by suggesting code snippets as you type. But does it live up to the hype? After using it extensively, I can say that if you give it an hour, you can significantly streamline your coding process. Let’s break down how to get started with GitHub Copilot, what to expect, and whether it’s worth your time.

Prerequisites: What You Need to Get Started

Before diving in, make sure you have the following in place:

• GitHub Account: You’ll need a GitHub account to access Copilot.
• Visual Studio Code (VS Code): Copilot is best integrated with VS Code, so download it if you haven’t already.
• GitHub Copilot Subscription: Pricing starts at $10/month after a 60-day free trial.

Step 1: Setting Up GitHub Copilot (15 minutes)

1. Install Visual Studio Code: Head over to Visual Studio Code and download it. Installation is straightforward.

2. Add the GitHub Copilot Extension:

   • Open VS Code.
   • Go to the Extensions view (Ctrl+Shift+X).
   • Search for "GitHub Copilot" and click "Install."

3. Sign In to GitHub:

   • After installation, you’ll be prompted to sign in to your GitHub account.
   • Follow the authentication steps.

4. Enable Copilot:

   • Once logged in, enable Copilot in the settings if it isn’t activated by default.

Expected output: You should see a Copilot icon in your VS Code status bar.

Step 2: Writing Your First Code with Copilot (15 minutes)

1. Create a New File: Start a new JavaScript or Python file in VS Code.

2. Start Typing: Begin typing a function or a comment. For example:

   // Function to calculate the factorial of a number
   function factorial(n) {
   

3. Accept Suggestions: Copilot will automatically suggest completions. You can accept a suggestion by pressing the Tab key.

4. Refine Suggestions: If the suggestion isn’t quite right, you can prompt Copilot for alternatives by typing more context or pressing Ctrl + Enter.

Expected output: A complete function based on your initial comment.

Step 3: Leveraging Context for Better Suggestions (15 minutes)

1. Add Comments: The more context you provide, the better Copilot’s suggestions will be. Try writing clear comments explaining what you want.

2. Use Existing Code: Copilot learns from the code you’ve written in the current file. If you have a specific coding style or pattern, stick to it for better suggestions.

3. Iterate: Keep refining your code. Copilot can suggest improvements or even entire blocks of code based on what you’ve written.

Expected output: A well-structured code with minimal manual typing.

Step 4: Troubleshooting Common Issues (10 minutes)

While Copilot is powerful, it’s not infallible. Here are some common issues you might encounter:

1. Irrelevant Suggestions: Sometimes, Copilot may suggest code that doesn’t fit your needs. In this case, try providing more context in your comments.

2. Over-reliance: While it’s tempting to accept suggestions without thinking, be sure to review the code for correctness and efficiency.

3. Performance Lag: If Copilot is slow, check your internet connection and ensure that VS Code is up to date.

Conclusion: Start Here for Productivity Gains

In just 60 minutes, you can set up and start using GitHub Copilot to improve your coding efficiency. It’s not a magic bullet, and you’ll still need to apply your judgment and expertise, but it can certainly reduce the time spent on repetitive tasks.

For those just starting, I recommend focusing on functions you regularly write and iterating on them with Copilot's suggestions.

What We Actually Use

In our experience, we use GitHub Copilot alongside tools like Postman for API testing and Figma for design collaboration. This combo helps us build faster without sacrificing quality.