Ai Coding Tools

How to Set Up GitHub Copilot for Optimal Workflow in 30 Minutes

By BTW Team3 min read

How to Set Up GitHub Copilot for Optimal Workflow in 30 Minutes

If you're a solo founder, indie hacker, or side project builder, you know how crucial it is to streamline your coding workflow. GitHub Copilot has been a game changer for many, but getting it set up to maximize its potential can feel a bit overwhelming. In 30 minutes, you can have Copilot configured to enhance your coding productivity without the usual headaches.

Prerequisites: What You Need Before You Start

Before diving into the setup, ensure you have the following:

  • GitHub Account: You’ll need an active GitHub account.
  • Visual Studio Code (VSCode): Install the latest version of VSCode, as Copilot is a plugin for this editor.
  • GitHub Copilot Subscription: As of 2026, Copilot costs $10/month after a free trial period. Make sure you're ready to subscribe or have a trial available.

Step 1: Install the GitHub Copilot Plugin

  1. Open VSCode: Launch your Visual Studio Code editor.
  2. Go to Extensions: Click on the Extensions icon in the sidebar or press Ctrl+Shift+X.
  3. Search for GitHub Copilot: Type "GitHub Copilot" in the search bar.
  4. Install: Click on "Install" to add the Copilot extension to your VSCode.

Expected Output: You should see a GitHub Copilot icon in the sidebar once the installation is complete.

Step 2: Sign In to GitHub

  1. Open Command Palette: Press Ctrl+Shift+P to open the command palette.
  2. Search for GitHub Copilot: Type "GitHub: Sign In" and click on it.
  3. Authenticate: Follow the prompts to log in with your GitHub credentials.

Expected Output: A confirmation message indicating that you are signed in and that Copilot is ready to assist.

Step 3: Configure Your Settings

  1. Access Settings: Go to File -> Preferences -> Settings.
  2. Search for Copilot: In the search bar, type "Copilot".
  3. Adjust Preferences:
    • Enable Suggestions: Make sure suggestions are enabled.
    • Change Suggestion Behavior: Set it to “Show inline suggestions” for a seamless coding experience.

Expected Output: Your Copilot settings should reflect the changes, optimizing the way suggestions are displayed.

Step 4: Test GitHub Copilot

  1. Create a New JavaScript File: Start a new file with a .js extension.
  2. Begin Coding: Type a function comment, like // Function to add two numbers.
  3. Observe Suggestions: Copilot will automatically suggest code.

Expected Output: Code suggestions should appear inline as you type, allowing you to accept or modify them.

Troubleshooting: What Could Go Wrong

  • No Suggestions Appearing: Ensure you're signed in and that the extension is enabled.
  • Slow Performance: Sometimes, network issues can affect responsiveness. Check your internet connection.
  • Subscription Issues: If you’re on a trial, ensure it hasn’t expired.

What's Next: Maximizing Your Workflow

Once you’ve set up GitHub Copilot, consider these tips to enhance your coding workflow further:

  • Pair with GitHub Actions: Automate your deployments and CI/CD processes.
  • Explore Copilot Labs: Use experimental features to further customize your coding experience.
  • Integrate with Other Tools: Consider using tools like Figma for design handoffs or Slack for team communication.

Conclusion: Start Here for Enhanced Coding

Setting up GitHub Copilot is a straightforward process that can significantly boost your coding efficiency. Spend 30 minutes to get it configured, and you’ll be on your way to writing code faster and with fewer errors. Remember, the real power of Copilot comes from using it consistently and adapting its suggestions to fit your style.

What We Actually Use

In our experience, we use GitHub Copilot alongside tools like Figma for design and Postman for API testing. This combination allows us to move quickly from design to deployment without losing momentum.

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