How to Use GitHub Copilot to Boost Productivity in 60 Minutes
How to Use GitHub Copilot to Boost Productivity in 60 Minutes
If you’ve ever spent hours debugging or writing boilerplate code, you’re not alone. As indie hackers and solo founders, we crave efficiency and productivity. Enter GitHub Copilot, an AI-powered coding assistant that can significantly reduce your coding time. In this guide, I’ll show you how to get up and running with GitHub Copilot in just 60 minutes, boosting your productivity and letting you focus on building your projects.
Prerequisites: What You Need Before Getting Started
Before diving into GitHub Copilot, make sure you have the following:
- GitHub Account: You need a GitHub account to use Copilot.
- Visual Studio Code (VS Code): This is the code editor where you'll integrate Copilot.
- GitHub Copilot Subscription: As of 2026, Copilot costs $10/month, with a free trial available for new users.
- Basic Knowledge of JavaScript or Python: Familiarity with at least one programming language will help you get the most out of Copilot.
Step 1: Setting Up GitHub Copilot in VS Code
Time: 10 minutes
- Install VS Code: If you haven't already, download and install Visual Studio Code from here.
- Install the GitHub Copilot Extension:
- Open VS Code.
- Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side.
- Search for "GitHub Copilot" and click "Install".
- Sign In to GitHub:
- After installation, you’ll need to sign in to your GitHub account.
- Follow the prompts to authenticate and allow access.
Expected Output: You should see a confirmation that Copilot is enabled in your editor.
Step 2: Using Copilot to Write Code
Time: 20 minutes
Now that you have Copilot set up, let’s put it to work.
-
Creating a New File:
- Create a new file in your project (e.g.,
app.jsorapp.py).
- Create a new file in your project (e.g.,
-
Start Typing a Function:
- Begin to write a comment describing what you want to achieve, such as
// Function to calculate the factorial of a number. - Copilot will automatically suggest code snippets based on your comment.
- Begin to write a comment describing what you want to achieve, such as
-
Accepting Suggestions:
- If Copilot's suggestion looks good, press
Tabto accept it. - If you want to see more options, keep typing or press
Ctrl + Enterfor additional suggestions.
- If Copilot's suggestion looks good, press
Expected Output: You should see a complete function generated based on your comment.
Step 3: Debugging with Copilot
Time: 15 minutes
Copilot can also assist in debugging your code.
-
Introduce a Bug:
- Intentionally add a bug in your code (e.g., misspell a variable).
-
Ask for Help:
- Insert a comment like
// Why is this not working?. - Copilot will suggest possible fixes or explanations.
- Insert a comment like
Expected Output: Copilot should provide insights and suggestions to resolve the bug.
Step 4: Leveraging Copilot for Documentation
Time: 10 minutes
Good documentation is key in any project. Here’s how Copilot can help:
- Document Your Functions:
- After writing your functions, add comments like
// This function calculates the sum of an array. - Copilot will suggest documentation in formats like JSDoc or Python docstrings.
- After writing your functions, add comments like
Expected Output: You’ll have well-documented functions without spending extra time writing them out yourself.
Step 5: Reviewing and Refining Code
Time: 5 minutes
Now that you’ve used Copilot, take a moment to review the generated code.
- Check for Code Quality:
- Ensure that the suggestions meet your project’s coding standards.
- Refine or modify the code as necessary.
Expected Output: Clean, efficient code ready for deployment.
Troubleshooting: What Could Go Wrong
- Copilot Not Suggesting Code: Ensure you're connected to the internet and signed into GitHub.
- Suggestions Don’t Fit: Sometimes, the context might not match what you want. You can refine your comments or type more context to guide Copilot better.
What’s Next: Maximizing Your Use of GitHub Copilot
After your first hour, continue to experiment with Copilot. Start using it in different programming languages, explore its settings for personalization, and integrate it into larger projects. Over time, you’ll find ways to leverage Copilot to suit your workflow better.
Conclusion: Start Here to Boost Your Productivity
GitHub Copilot is a powerful tool that can save you hours of coding time. By following this guide, you’ve set yourself up to make the most of it in just 60 minutes. If you’re ready to supercharge your coding efficiency, dive in and start using GitHub Copilot today.
Follow Our Building Journey
Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.