Ai Coding Tools

How to Use GitHub Copilot for Faster Feature Development in 30 Minutes

By BTW Team4 min read

How to Use GitHub Copilot for Faster Feature Development in 30 Minutes

If you're anything like me, you know how tedious it can be to write code for new features, especially when you're juggling multiple projects. Enter GitHub Copilot: an AI-powered coding assistant that promises to make feature development not just faster but also a bit more enjoyable. In this guide, I'll show you how to leverage GitHub Copilot effectively, and you can get through this in just 30 minutes.

Prerequisites: What You Need to Get Started

Before you dive in, make sure you have the following:

  • GitHub Account: You’ll need this to use Copilot.
  • Visual Studio Code: Copilot integrates seamlessly with this popular code editor.
  • GitHub Copilot Subscription: The pricing is $10/month or $100/year as of February 2026.
  • Basic Understanding of Programming: While Copilot can generate code, you still need to understand what you're working on.

Step 1: Install GitHub Copilot in Visual Studio Code

  1. Open Visual Studio Code.
  2. Go to the Extensions panel (Ctrl+Shift+X).
  3. Search for "GitHub Copilot" and click "Install."
  4. Authenticate with your GitHub account when prompted.

Expected Output: You should see a Copilot icon in your VS Code sidebar.

Step 2: Create a New Feature Branch

  1. Open your terminal in VS Code.
  2. Use the command:
    git checkout -b feature/my-new-feature
    
  3. This helps keep your changes organized and separate from the main branch.

Expected Output: You should see a new branch created in your Git history.

Step 3: Start Coding with GitHub Copilot

  1. Begin writing a comment describing the functionality you want. For example:
    // Create a function to fetch user data from an API
    
  2. Hit "Enter" and watch as Copilot suggests code snippets that you can accept or reject.

Expected Output: Copilot will provide you with a function template or even complete code based on your comment.

Step 4: Review and Edit the Generated Code

  • Tip: Always review the code Copilot suggests. While it’s powerful, it’s not perfect. Make sure it fits your specific use case.
  • If the suggestion isn't quite right, you can either modify it or write a more detailed comment for better suggestions.

Step 5: Testing Your Feature

  1. Write tests for the new feature to ensure it works as expected.
  2. Use a testing framework like Jest or Mocha.
  3. Run your tests to confirm everything is functioning properly.

Expected Output: Your tests should pass, confirming that the feature works as intended.

Troubleshooting: What Could Go Wrong

  • Copilot Not Suggesting Code: Ensure you're connected to the internet and that your subscription is active.
  • Suggestions Are Off-Base: Try rephrasing your comments or providing more context.

What's Next: Expanding Your Toolset

Once you’ve nailed down using GitHub Copilot, consider integrating other tools to streamline your workflow even further. For instance, you might explore:

  • Postman for API testing.
  • Figma for UI design.
  • Slack for team communication.

Comparison of Coding Tools

Here’s a quick look at how GitHub Copilot stacks up against other coding tools:

| Tool | Pricing | Best For | Limitations | Our Take | |-----------------------|-----------------------|-----------------------------------|------------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo or $100/yr | Code completion and suggestions | May require manual adjustments | We use this for rapid prototyping | | Tabnine | Free tier + $12/mo | AI code completion | Limited integrations | We don't use this; too basic | | Kite | Free + $19.90/mo | Python code completion | Limited to Python | We don't use this; niche focus | | Codex (OpenAI) | $0.03 per token | Advanced code generation | Expensive for large codebases | We don’t use this; too costly | | Sourcery | Free tier + $20/mo | Python refactoring | Not as robust for other languages | We don't use this; limited scope |

Conclusion: Start Here with GitHub Copilot

If you’re looking to speed up your feature development without sacrificing quality, GitHub Copilot is a solid choice. It’s not a magic bullet, but when used correctly, it can save you a lot of time and effort.

Start by installing Copilot and following the steps outlined above. In just 30 minutes, you’ll be on your way to more efficient coding.

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