Ai Coding Tools

How to Use GitHub Copilot to Cut Your Coding Time in Half

By BTW Team4 min read

How to Use GitHub Copilot to Cut Your Coding Time in Half

In the fast-paced world of software development, time is often the most precious resource. As indie hackers and solo founders, we’re constantly looking for ways to maximize our efficiency and minimize the hours spent on repetitive coding tasks. Enter GitHub Copilot—a tool that promises to help you code faster by suggesting entire lines or blocks of code based on your comments and previous coding patterns. But does it really deliver? In this guide, I’ll break down how to effectively use GitHub Copilot to potentially cut your coding time in half.

Prerequisites: What You Need to Get Started

Before diving in, make sure you have the following:

  • GitHub Account: You’ll need this to access Copilot.
  • Visual Studio Code (VS Code): Copilot works as an extension for this popular code editor.
  • GitHub Copilot Subscription: As of 2026, the pricing is $10/month after a 14-day free trial.

Setting Up GitHub Copilot in VS Code

You can finish this setup in about 15 minutes. Here’s how to do it:

  1. Install Visual Studio Code: If you haven’t already, download and install VS Code from here.
  2. Install GitHub Copilot Extension: Open VS Code, go to the Extensions view by clicking on the Extensions icon in the Activity Bar, and search for "GitHub Copilot." Click "Install."
  3. Sign In to GitHub: After installation, you’ll be prompted to sign in to your GitHub account. Follow the instructions to authorize the extension.
  4. Start Coding: Open a new file, and start typing comments or function names to see Copilot's suggestions.

How to Maximize GitHub Copilot’s Potential

1. Write Clear Comments

Copilot excels at generating code based on comments. Instead of diving straight into code, write a descriptive comment about what you want to achieve. For example:

// Create a function that calculates the factorial of a number

Expected Output: Copilot will suggest the function implementation.

2. Use Contextual Hints

The more context you provide, the better Copilot performs. If you’re working within a specific framework or library, make sure to include it in your comments. For example:

# Using Flask, create a route that returns "Hello, World!"

3. Iterate and Accept Suggestions

When Copilot suggests code, you can press Tab to accept it or Esc to dismiss. Don’t be afraid to iterate on the suggestions. Often, you’ll find that tweaking the code produced will lead to better results.

4. Combine with Existing Code

Copilot can help fill in gaps in your existing code. For instance, if you have a partially written function, place your cursor at the end and see how Copilot completes it.

5. Validate and Refine

While Copilot can generate a lot of code quickly, it’s not perfect. Always validate the generated code to ensure it meets your requirements and follows best practices.

Troubleshooting Common Issues

While using Copilot, you might run into a few common issues:

  • Poor Suggestions: If the suggestions seem off, try being more specific in your comments or providing additional context.
  • Syntax Errors: Always double-check the generated code for syntax errors, especially in complex functions.
  • Performance Issues: Sometimes, Copilot can slow down VS Code. If this occurs, consider disabling other extensions temporarily to see if that resolves the issue.

What’s Next: Level Up Your Development

Once you’ve gotten comfortable with GitHub Copilot, consider integrating it with other tools to enhance your workflow. Here are a few recommendations:

  • Pair with GitHub Actions: Automate your CI/CD processes.
  • Use with Linters and Formatters: Ensure the code generated by Copilot adheres to your coding standards.

Conclusion: Start Here to Cut Your Coding Time

If you’re looking to save time and boost your productivity as a developer, start using GitHub Copilot today. With its code suggestions, you can focus more on solving problems and less on writing boilerplate code. Remember to provide clear comments, validate the output, and integrate it with your existing tools for the best results.

What We Actually Use

In our experience, GitHub Copilot has become a staple in our development process. We find that it helps us prototype faster and allows us to focus on the unique aspects of our projects. However, we still rely on manual coding for critical functions to ensure quality.

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