Ai Coding Tools

How to Use GitHub Copilot to Complete Your Next Project in Under 2 Hours

By BTW Team4 min read

How to Use GitHub Copilot to Complete Your Next Project in Under 2 Hours

If you’ve ever found yourself staring blankly at your code editor, wondering how to get started on your next project, you’re not alone. As indie hackers and solo founders, we often juggle multiple tasks, and coding can feel like a daunting mountain to climb. But what if I told you that you could leverage AI to not just help you code faster but also enhance your overall productivity? Enter GitHub Copilot. In this guide, I’ll walk you through how to use GitHub Copilot effectively to complete a coding project in under 2 hours.

Prerequisites for Getting Started

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

  • A GitHub account: Sign up at GitHub if you don’t have one already.
  • Visual Studio Code (VS Code): Download and install it from VS Code.
  • GitHub Copilot subscription: As of June 2026, pricing is $10/month for individuals, with a 30-day free trial available.
  • Basic familiarity with coding: You should know some programming fundamentals.

Step 1: Install 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.
  3. Search for "GitHub Copilot" and click "Install."
  4. After installation, sign in with your GitHub account to activate Copilot.

Expected output: You should see Copilot's suggestions pop up as you start typing code.

Step 2: Set Up Your Project

  1. Create a new folder for your project on your local machine.
  2. Open this folder in VS Code.
  3. Initialize a new Git repository by running git init in the terminal.

Expected output: You should see a .git folder created in your project directory.

Step 3: Start Coding with Copilot

  1. Begin by creating a new file (e.g., app.js).
  2. Write a comment describing the function you want to create. For example, // This function calculates the sum of two numbers.
  3. Watch as Copilot suggests code that completes your function.

Tips for Getting the Best Suggestions

  • Be specific in your comments.
  • If a suggestion isn’t quite right, hit Tab to accept it or keep typing to refine it.
  • Use Copilot’s suggestions as a starting point and iterate on them.

Step 4: Testing Your Code

  1. After writing your code, create a simple test file (e.g., test.js).
  2. Write tests to validate your functions. Use comments to guide Copilot.
  3. Run your tests using Node.js or your preferred testing framework.

Expected output: Your tests should either pass or fail, giving you a clear indication of whether your code works.

Step 5: Troubleshooting Common Issues

What Could Go Wrong

  • Copilot doesn’t understand your comments: Make them more descriptive.
  • Syntax errors: Double-check the suggested code; AI can make mistakes.
  • Performance issues: If your project is complex, consider breaking it down into smaller functions.

Solutions

  • Refine comments for clarity.
  • Check documentation for the programming language you’re using.
  • Use debugging tools in VS Code.

Step 6: What’s Next?

Once you’ve completed your project, consider the following:

  • Deploy your application: Use platforms like Heroku or Vercel.
  • Iterate based on user feedback: Get your product in front of users as quickly as possible.
  • Explore more advanced features: GitHub Copilot can help with more complex tasks like API integration.

Conclusion: Start Coding with GitHub Copilot Today

Using GitHub Copilot can drastically cut down your coding time, making it feasible to complete projects in under 2 hours. Start by ensuring you have the necessary tools, follow the steps outlined above, and remember to iterate on Copilot’s suggestions.

In our experience, Copilot shines when you're working on well-defined tasks with clear comments. However, it's not perfect and might require you to double-check its outputs for accuracy.

So, if you’re looking to speed up your coding process and get more done, give GitHub Copilot a shot.

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

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026 As AI coding tools have become an integral part of a developer's toolkit in 2026, many are still stumbling over

Oct 12, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026 As we dive into 2026, the landscape of AI coding tools has evolved significantly, yet many developers still

Oct 11, 20263 min read
Ai Coding Tools

Why AI Coding Assistants Are Overrated for Beginners in 2026

Why AI Coding Assistants Are Overrated for Beginners in 2026 As a solo founder or indie hacker, it’s tempting to think that AI coding assistants are the silver bullet to jumpstart

Oct 10, 20263 min read
Ai Coding Tools

10 Common Mistakes When Using AI Coding Tools for Beginners

10 Common Mistakes When Using AI Coding Tools for Beginners As a beginner in coding, diving into AI coding tools can feel like a doubleedged sword. On one hand, these tools promise

Oct 8, 20264 min read
Ai Coding Tools

5 Common Misconceptions About AI Coding Tools and Why They Hold You Back

5 Common Misconceptions About AI Coding Tools and Why They Hold You Back As a solo founder or indie hacker, you might be considering leveraging AI coding tools to boost your produc

Oct 7, 20264 min read
Ai Coding Tools

5 Common Misconceptions About AI Coding Tools That Will Hurt Your Learning

5 Common Misconceptions About AI Coding Tools That Will Hurt Your Learning As a beginner in coding, diving into the world of AI coding tools can feel like stepping into a futuristi

Oct 6, 20263 min read