Ai Coding Tools

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

By BTW Team4 min read

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

If you're like many indie hackers and solo founders, you’ve probably felt the crunch of deadlines while juggling multiple projects. Enter GitHub Copilot: an AI-powered coding assistant that can help you write code faster and with fewer errors. But does it really live up to the hype? In this guide, I’ll show you how to get set up with GitHub Copilot in just 2 hours and share some practical insights on how to maximize its potential to boost your coding efficiency.

Time Estimate: 2 Hours

You can finish this setup in 2 hours if you follow the steps closely.

Prerequisites

Before diving in, make sure you have:

  • A GitHub account (Free)
  • Visual Studio Code (Free)
  • Basic understanding of JavaScript, Python, or any other programming language you plan to use

Step-by-Step Setup

1. Install Visual Studio Code

First, download and install Visual Studio Code from here. This is crucial because GitHub Copilot integrates directly into this code editor.

2. Get GitHub Copilot

  1. Open Visual Studio Code.
  2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side of the window.
  3. Search for "GitHub Copilot" and click "Install."

Expected Output:

You should see the Copilot icon in your activity bar once the installation is complete.

3. Sign in to GitHub

After installation, you'll need to sign in to your GitHub account:

  • Click on the GitHub Copilot icon.
  • Follow the prompts to log in and authorize access.

4. Configure Settings

Once signed in, you can configure settings:

  • Go to File > Preferences > Settings.
  • Search for "Copilot" to adjust suggestions, enable/disable inline suggestions, and customize your experience.

5. Start Coding

Open a new file and start coding. As you type, GitHub Copilot will provide suggestions. You can accept suggestions by hitting Tab or modify them as needed.

Expected Output:

You should see context-aware code suggestions as you write, which can significantly speed up your coding process.

What Could Go Wrong

  1. Inaccurate Suggestions: Sometimes Copilot suggests code that may not fit your needs.

    • Solution: Always review and test the generated code before implementation.
  2. Performance Lag: On slower machines, you might experience lag.

    • Solution: Close unnecessary applications to free up resources.

What's Next

Now that you’ve set up GitHub Copilot, consider integrating it with other tools for even greater efficiency. Look into using it alongside:

  • GitHub Actions for CI/CD
  • Postman for API testing
  • Figma for design handoff

Tool Comparison: GitHub Copilot vs. Alternatives

Here’s a quick comparison of GitHub Copilot with other AI coding assistants as of June 2026.

| Tool | Pricing | Best For | Limitations | Our Verdict | |---------------------|-------------------------|--------------------------------|----------------------------------------------|----------------------------------| | GitHub Copilot | $10/mo, Free tier | Contextual code suggestions | Not perfect; review needed | We use this for daily coding | | Tabnine | Free + Pro at $12/mo | Multi-language support | Limited context in suggestions | Great for multi-language projects| | Replit Ghostwriter | $20/mo | Collaborative coding | Limited to Replit platform | Good for team projects | | Codeium | Free + $10/mo Pro | Snippet generation | Fewer languages supported | We don’t use it due to limits | | Kite | Free + $19.90/mo Pro | Python coding | No longer supports JavaScript | We don’t use it | | Codex | Custom pricing | Complex code generation | Requires more setup than Copilot | We haven’t tried it |

Conclusion

GitHub Copilot is a powerful tool that can significantly enhance your coding efficiency if you invest a couple of hours to set it up properly. Start with the setup outlined above and experiment with its features. Remember, it’s not a magic bullet; always review the code it generates.

Start Here: If you’re ready to dive in, install Visual Studio Code and GitHub Copilot today and see how it can fit into your workflow.

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