Ai Coding Tools

How to Integrate GitHub Copilot: A Step-by-Step Guide for New Developers

By BTW Team3 min read

How to Integrate GitHub Copilot: A Step-by-Step Guide for New Developers

As a new developer, diving into coding can feel overwhelming. You might find yourself staring at a blank screen, unsure of where to start or how to write that first line of code. If you've ever felt this way, you're not alone. That's where a tool like GitHub Copilot comes in. It’s an AI-powered pair programmer that can help you code faster and more efficiently. In this guide, I'll walk you through the integration process of GitHub Copilot, so you can start leveraging its capabilities right away.

Time Estimate: 30 Minutes to Set Up

You can finish the integration of GitHub Copilot in about 30 minutes if you follow the steps below.

Prerequisites

Before you start, make sure you have the following:

  • A GitHub account (Free)
  • Visual Studio Code (VS Code) installed on your computer
  • Basic understanding of coding concepts (but don’t worry if you’re a complete beginner)

Step 1: Install Visual Studio Code

If you haven’t done this already, download and install Visual Studio Code from the official website. It's free and works on Windows, macOS, and Linux.

Expected Output:

You should have a fully functional VS Code environment on your system.

Step 2: Sign Up for GitHub Copilot

  1. Go to the GitHub Copilot page.
  2. Click "Sign up for Copilot".
  3. Follow the prompts to either start a free trial or subscribe.

Pricing:

  • Free Trial: 30 days
  • Subscription: $10/month after the trial

Limitations:

The free trial gives you access to all features, but after that, you’ll need to pay to continue using it. If you're working on personal projects, that might be a cost to consider.

Step 3: Install the GitHub Copilot Extension

  1. Open Visual Studio Code.
  2. Go to the Extensions tab (or press Ctrl+Shift+X).
  3. Search for "GitHub Copilot".
  4. Click "Install".

Expected Output:

You should see the GitHub Copilot icon in your VS Code sidebar, indicating the extension is active.

Step 4: Configure GitHub Copilot

  1. After installation, you may need to sign in to your GitHub account within VS Code.
  2. To do this, click on the GitHub Copilot icon.
  3. Follow the prompts to authenticate your GitHub account.

Expected Output:

Once authenticated, GitHub Copilot will be ready to assist you with code suggestions.

Step 5: Start Coding with GitHub Copilot

Open a new file and start typing a function or comment describing what you want to do. For example, if you type // function to add two numbers, Copilot will suggest code to implement that function.

Tips for Using GitHub Copilot:

  • Use comments to guide Copilot on what to generate.
  • Accept suggestions by pressing Tab.
  • If a suggestion isn’t quite right, you can modify it or start typing again for new suggestions.

Troubleshooting

What Could Go Wrong:

  • Copilot doesn’t suggest anything: Make sure you are connected to the internet and logged into your GitHub account.
  • Suggestions aren’t relevant: Try being more specific in your comments or coding context.

What’s Next?

Once you've integrated GitHub Copilot, consider diving into more advanced features, like:

  • Customizing your settings for suggestions.
  • Experimenting with different programming languages.
  • Joining the GitHub community forums to share experiences and get tips.

Conclusion: Start Here

Integrating GitHub Copilot can significantly enhance your coding efficiency, especially as a beginner. Follow these steps to get started, and don’t hesitate to explore its capabilities as you grow in your coding journey.

If you find that GitHub Copilot isn't meeting your needs, consider alternatives like Tabnine or Kite, which offer similar functionality but may have different pricing structures and features.

What We Actually Use: We primarily use GitHub Copilot for quick coding tasks, but we also keep an eye on alternatives to compare efficiency.

Follow Our Building Journey

Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.

Subscribe

Never miss an episode

Subscribe to Built This Week for weekly insights on AI tools, product building, and startup lessons from Ryz Labs.

Subscribe
Ai Coding Tools

Top 5 AI Coding Tools for Advanced Developers: Boost Your Workflow

Top 5 AI Coding Tools for Advanced Developers: Boost Your Workflow As advanced developers, we're always on the lookout for tools that can streamline our workflow, enhance our produ

Aug 7, 20264 min read
Ai Coding Tools

How to Boost Your Coding Productivity in Just 30 Minutes with AI Tools

How to Boost Your Coding Productivity in Just 30 Minutes with AI Tools As a solo founder or indie hacker, you know how critical it is to maximize your productivity, especially when

Aug 7, 20265 min read
Ai Coding Tools

Supabase vs Firebase: Which Database Service Works Best for AI Projects?

Supabase vs Firebase: Which Database Service Works Best for AI Projects in 2026? As an indie hacker navigating the AI landscape, you might find yourself stuck between two heavyweig

Aug 7, 20264 min read
Ai Coding Tools

AI Coding Assistant Showdown: Codeium vs. Cursor in 2026

AI Coding Assistant Showdown: Codeium vs. Cursor in 2026 As we dive into 2026, the landscape of AI coding assistants has evolved significantly. For indie hackers, solo founders, an

Aug 7, 20263 min read
Ai Coding Tools

5 Common Mistakes Beginner Developers Make with AI Coding Tools

5 Common Mistakes Beginner Developers Make with AI Coding Tools As a beginner developer diving into the world of AI coding tools, it's easy to get overwhelmed. You might think thes

Aug 7, 20264 min read
Ai Coding Tools

Why Codex is Overrated: A Closer Look at AI Coding Tools

Why Codex is Overrated: A Closer Look at AI Coding Tools As someone who has dabbled in various coding tools, I can confidently say that the hype surrounding Codex and similar AI co

Aug 7, 20264 min read