How to Use GitHub Copilot to Increase Your Code Output by 50%

As indie hackers and solo founders, we’re always looking for ways to optimize our workflow and get more done in less time. Enter GitHub Copilot, an AI-powered coding assistant that can help you write code faster and potentially increase your output by 50%. But how do you actually harness its power effectively? Let’s break it down.

Prerequisites: What You Need Before Getting Started

Before diving into GitHub Copilot, ensure you have the following:

• GitHub Account: You’ll need to sign up for a GitHub account if you haven’t already.
• IDE Support: GitHub Copilot works with popular IDEs like Visual Studio Code. Make sure you have it installed.
• Subscription: As of September 2026, GitHub Copilot costs $10/month or $100/year after a free trial period.

Step 1: Installing GitHub Copilot

To get started with GitHub Copilot, follow these steps:

1. Install the Extension:

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

2. Sign In:

   • After installation, you'll need to sign in to your GitHub account to activate Copilot.

Expected output: You should see a confirmation that GitHub Copilot is enabled in your IDE.

Step 2: Configuring GitHub Copilot Settings

Customizing your settings can help you get the most out of GitHub Copilot. Here’s how:

1. Open Settings:

   • Go to File > Preferences > Settings.

2. Adjust Suggestions:

   • Look for "GitHub Copilot" settings.
   • You can toggle options for inline suggestions, auto-completions, and more.

Expected output: Copilot will now generate suggestions based on your preferences.

Step 3: Writing Code with GitHub Copilot

Here’s where the magic happens. To write code using Copilot effectively:

1. Start Typing:

   • Begin typing a function or a comment describing what you want to do. For example, "function to calculate the sum of an array".

2. Accept Suggestions:

   • Copilot will provide suggestions as you type. You can press Tab to accept a suggestion or keep typing to get different options.

Expected output: A complete code snippet generated by Copilot based on your input.

Step 4: Reviewing and Testing Code

While GitHub Copilot can boost your productivity, it’s crucial to review its suggestions:

1. Check for Errors:

   • Always run the code in your IDE to ensure it works as intended.

2. Refactor as Needed:

   • Don’t hesitate to tweak the code. Sometimes, Copilot’s suggestions might not be optimal.

Expected output: Clean, functional code that you’ve vetted and improved upon.

Troubleshooting: What Could Go Wrong

Here are a few common issues you might encounter while using GitHub Copilot and how to fix them:

• Incorrect Suggestions: If Copilot is generating irrelevant suggestions, try being more specific in your comments or code context.
• Performance Issues: If the extension is slow, check your internet connection or consider disabling other extensions that may conflict.

What’s Next: Maximizing Your Output

Once you’re comfortable with GitHub Copilot, consider these strategies to maximize your coding output:

1. Pair Programming with Copilot: Use Copilot as a virtual pair programmer to brainstorm solutions and enhance your coding process.
2. Experiment with Different Languages: Copilot supports various programming languages, so don’t hesitate to try it out in different contexts.

Conclusion: Start Here to Boost Your Coding Output

Using GitHub Copilot can significantly increase your coding output, potentially by 50% or more. Start with the installation, configure it to your liking, and begin integrating it into your workflow. Just remember to review and refine the code it generates.

In our experience, Copilot is particularly effective when writing repetitive code, such as boilerplate or utility functions. If you're looking for a way to speed up your development process without sacrificing quality, GitHub Copilot is worth considering.