Ai Coding Tools

How to Build Your First Project with GitHub Copilot: A Step-by-Step Guide

By BTW Team4 min read

How to Build Your First Project with GitHub Copilot: A Step-by-Step Guide

If you're a beginner looking to build your first project, GitHub Copilot can feel like magic. But, let's be real: it can also be overwhelming. You might be thinking, "How do I even start?" or "Will this actually help me code?" Trust me, I’ve been there. In this guide, I’ll walk you through how to leverage GitHub Copilot effectively, sharing what works and what doesn’t based on our experiences building projects in 2026.

Time Estimate: 3-4 Hours

You can finish setting up your first project with GitHub Copilot in about 3-4 hours, depending on your familiarity with coding and the complexity of your project.

Prerequisites

Before we dive in, here’s what you’ll need:

  • A GitHub account (free)
  • Visual Studio Code (free)
  • GitHub Copilot subscription ($10/month or $100/year)
  • Basic understanding of programming concepts (Python, JavaScript, etc.)

Step 1: Setting Up Your Environment

  1. Install Visual Studio Code: Download and install from Visual Studio Code.
  2. Install GitHub Copilot:
    • Open Visual Studio Code.
    • Go to Extensions (Ctrl+Shift+X or Cmd+Shift+X).
    • Search for "GitHub Copilot" and install it.
  3. Sign In: Once installed, sign in with your GitHub account to activate Copilot.

Expected Output: You should see Copilot suggestions as you start typing code.

Step 2: Creating Your First Project

  1. Open a New Folder: Create a new folder for your project in Visual Studio Code.
  2. Create a New File: Start with a new file (e.g., app.py for a Python project).
  3. Write a Comment: Type a comment describing what you want to achieve. For example, # Create a simple web server using Flask.
  4. Let Copilot Suggest Code: As you type, GitHub Copilot will suggest code snippets. Accept suggestions by hitting the Tab key.

Expected Output: You should see a basic Flask web server code generated by Copilot.

Step 3: Running and Testing Your Project

  1. Install Required Packages: If your project requires libraries (like Flask), install them using pip or npm.
    • For Python: pip install Flask
    • For JavaScript: npm install express
  2. Run Your Application: Use the terminal in Visual Studio Code to run your application.
    • For Python: python app.py
    • For JavaScript: node app.js
  3. Test in Browser: Open your web browser and navigate to the local host (e.g., http://127.0.0.1:5000 for Flask).

Expected Output: Your application should be live and functional.

Troubleshooting Common Issues

  • Copilot Doesn’t Suggest Code: Make sure you’re connected to the internet and logged into GitHub.
  • Errors in Code: Copilot is not perfect. Review suggestions and debug any errors manually.

What Could Go Wrong

  • If you get stuck, check the official GitHub Copilot Documentation for guidance.
  • A common pitfall is over-relying on Copilot. Always understand the code it suggests.

What’s Next?

Once you’ve built your first project, consider expanding its functionality. Try integrating more libraries, or even collaborating with others on GitHub.

Additional Tools to Consider

While GitHub Copilot is powerful, it works best in conjunction with other tools. Here are some worth exploring:

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------|----------------------------------------------|---------------------------------------------------|------------------------------------| | GitHub Copilot | $10/mo or $100/yr | Code suggestions in real-time | Not always accurate; requires understanding of code | Essential for speeding up coding | | Git | Free | Version control | Can be complex for beginners | Use for tracking changes | | Postman | Free tier + $12/mo pro| API testing | Limited features in free version | Great for API-focused projects | | Docker | Free | Containerization for apps | Learning curve for setup | Helpful for deployment | | Figma | Free tier + $12/mo pro| UI/UX design | Advanced features behind paywall | Useful for design prototyping |

Conclusion: Start Here

If you’re ready to dive into coding, start by setting up GitHub Copilot and following these steps. It’s a practical way to kickstart your programming journey, especially if you’re feeling lost. Remember, the goal is to learn and understand, not just to rely on suggestions.

To keep up with our building journey and get insights on tools we’re testing, check out our podcast at Built This Week.

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

How to Create Your First Chatbot Using AI Coding Tools in Just 2 Hours

How to Create Your First Chatbot Using AI Coding Tools in Just 2 Hours Building your first chatbot might seem like a daunting task, especially if you're new to programming or AI to

Mar 21, 20264 min read
Ai Coding Tools

Cursor vs GitHub Copilot: Which AI Coding Tool Best Suits Developers in 2026?

Cursor vs GitHub Copilot: Which AI Coding Tool Best Suits Developers in 2026? As developers in 2026, we face an evergrowing array of AI tools designed to enhance our coding experie

Mar 21, 20263 min read
Ai Coding Tools

Why GitHub Copilot is Overrated: A Critical Review for 2026

Why GitHub Copilot is Overrated: A Critical Review for 2026 As a solo founder or indie hacker, you’re always on the lookout for tools that genuinely enhance your productivity witho

Mar 21, 20264 min read
Ai Coding Tools

Versus: GitHub Copilot vs Codeium for JavaScript Development

Versus: GitHub Copilot vs Codeium for JavaScript Development As a developer, you've probably wrestled with the frustration of writing repetitive boilerplate code or searching for t

Mar 21, 20263 min read
Ai Coding Tools

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

How to Use GitHub Copilot to Boost Your Coding Productivity in Just 2 Hours If you're a solo founder or indie hacker, you know that time is your most precious resource. Writing cod

Mar 21, 20264 min read
Ai Coding Tools

Why Codeium is Overrated: A Deep Dive into Its Shortcomings

Why Codeium is Overrated: A Deep Dive into Its Shortcomings As a solo founder or indie hacker, you might have heard the buzz around Codeium, the AI coding tool claiming to boost pr

Mar 21, 20264 min read