Ai Coding Tools

How to Use GitHub Copilot to Boost Your Coding Speed in Just 2 Hours

By BTW Team3 min read

How to Use GitHub Copilot to Boost Your Coding Speed in Just 2 Hours

If you're a solo founder or indie hacker, you know that time is money—especially when it comes to coding. In 2026, with the rise of AI tools, GitHub Copilot stands out as a game-changing resource for boosting coding speed. But how do you actually harness its power in a practical way? In this guide, I’ll walk you through using GitHub Copilot effectively in just two hours, so you can start shipping faster.

Time Estimate: 2 Hours

This setup process will take about two hours if you follow these steps closely.

Prerequisites

Before diving in, make sure you have the following:

  • GitHub Account: You need an account to access Copilot.
  • Visual Studio Code (VS Code): This is where you'll integrate Copilot.
  • GitHub Copilot Subscription: Pricing is $10/month or $100/year. There's a free trial available for new users.

Step-by-Step Setup

Step 1: Install Visual Studio Code

  1. Download VS Code: Visit the official site and download the latest version.
  2. Install the Editor: Follow the installation prompts based on your operating system.

Step 2: Install GitHub Copilot

  1. Open VS Code: Launch the editor.
  2. Go to Extensions: Click on the Extensions view icon in the Activity Bar on the side of the window.
  3. Search for GitHub Copilot: Type "GitHub Copilot" in the search bar.
  4. Install the Extension: Click on the install button for the GitHub Copilot extension.
  5. Sign In: When prompted, sign in with your GitHub account to activate your subscription.

Step 3: Start Coding with Copilot

  1. Create a New File: Open a new file in any programming language you prefer.
  2. Write Your First Comment: Start with a comment that describes what you want to achieve (e.g., // function to calculate the Fibonacci sequence).
  3. Let Copilot Suggest: As you type, Copilot will suggest code completions. You can accept suggestions by pressing Tab.
  4. Iterate and Adjust: Modify the generated code as needed. Copilot learns from your coding style over time.

Step 4: Experiment with Copilot

  • Try Different Languages: Use Copilot with Python, JavaScript, or even Go. The tool adapts to different languages effectively.
  • Explore Edge Cases: Write comments for edge cases or complex functions and see how Copilot handles them.

Step 5: Troubleshooting Common Issues

  • Not Getting Suggestions: Ensure you’re connected to the internet and that Copilot is enabled in your settings.
  • Inaccurate Suggestions: If the suggestions don’t fit your needs, refine your comments for clarity. Copilot works better with detailed prompts.

Expected Outputs

By the end of your two-hour setup, you should have:

  • A functioning coding environment with Copilot integrated.
  • A basic understanding of how to leverage AI suggestions to speed up your coding tasks.
  • A few small projects or functions written with Copilot's assistance.

What's Next?

Once you're comfortable with Copilot, consider integrating it into your daily coding workflow. Look for areas where repetitive tasks can be automated or simplified with Copilot's suggestions.

Conclusion: Start Here

To kick off your journey with GitHub Copilot, follow these steps to get set up and start coding faster. The tool can significantly reduce your coding time, allowing you to focus on building your product rather than getting bogged down in code syntax.

For indie hackers like us, every minute counts, and GitHub Copilot can be a valuable ally in that quest.

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