Ai Coding Tools

How to Use GitHub Copilot to Write Your First Lines of Code in Under 30 Minutes

By BTW Team3 min read

How to Use GitHub Copilot to Write Your First Lines of Code in Under 30 Minutes

If you're a solo founder or an indie hacker, you know that coding can feel like climbing a mountain—intimidating and time-consuming. But what if I told you that you could write your first lines of code in less than 30 minutes using GitHub Copilot? In 2026, this AI-powered coding assistant has become a game-changer for many of us who are just getting started or want to speed up our workflow. In this guide, I’ll walk you through how to leverage GitHub Copilot effectively, so you can get coding without the steep learning curve.

Prerequisites: What You Need to Get Started

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

  • GitHub Account: Free to sign up.
  • Visual Studio Code: Download the free version if you don’t have it yet.
  • GitHub Copilot Subscription: $10/month after a free trial.
  • Basic understanding of programming concepts: While Copilot can help, a little foundational knowledge will go a long way.

Step 1: Setting Up GitHub Copilot

  1. Install Visual Studio Code: If you haven't already, download and install it from Visual Studio Code.
  2. Install GitHub Copilot:
    • Open Visual Studio Code.
    • Go to the Extensions view (Ctrl+Shift+X).
    • Search for "GitHub Copilot" and click "Install."
  3. Sign in to GitHub: Once installed, you’ll need to authenticate with your GitHub account.
  4. Enable Copilot: Follow the prompts to enable Copilot in your editor.

Step 2: Writing Your First Lines of Code

Now that you’re set up, let’s write some code!

  1. Create a New File: Open a new file in Visual Studio Code and save it with a .js or .py extension, depending on your preferred programming language.
  2. Start Commenting: Type a comment describing what you want to do. For example:
    // Create a function that adds two numbers
    
  3. Let Copilot Suggest: As you type, Copilot will start suggesting code. You can cycle through suggestions using the arrow keys.
  4. Accept the Suggestion: Hit "Tab" to accept the suggestion. You’ll see the lines of code appear.

Step 3: Testing Your Code

  1. Run Your Code: Depending on the language, you may need to set up a terminal.
    • For JavaScript, you can use Node.js.
    • For Python, simply run the script in your terminal.
  2. Check for Errors: If there are errors, Copilot might suggest fixes or you can manually adjust the code.

Troubleshooting Common Issues

  • Suggestion Not What You Expected: Sometimes, Copilot may not understand your comment. Try rephrasing it or provide more context.
  • Syntax Errors: Check the language syntax you’re using. Copilot is good, but it’s not perfect.
  • Performance Lag: If Copilot is slow, ensure your internet connection is stable, as it relies on cloud processing.

What's Next: Building More Complex Projects

Once you've written a simple function, consider building upon it:

  • Create a Small App: Use Copilot to help you build a simple web app or a command-line tool.
  • Explore Different Languages: Experiment with Python, JavaScript, or Ruby. Copilot supports multiple languages, and each has its strengths.

Conclusion: Start Coding with GitHub Copilot

If you’re looking to get into coding, GitHub Copilot can significantly shorten your learning curve. You can start writing code in under 30 minutes, and with consistent practice, you can build more complex projects that might have seemed daunting before.

Our recommendation? Try it out for the free trial, and see if it fits your workflow. You might just find that coding isn’t as scary as it seems!

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 Automate Your Development Workflow with AI in 3 Easy Steps

How to Automate Your Development Workflow with AI in 3 Easy Steps (2026) As indie hackers and solo founders, we often find ourselves buried under a mountain of repetitive tasks tha

Sep 3, 20264 min read
Ai Coding Tools

How to Boost Your Coding Velocity with AI in 30 Minutes

How to Boost Your Coding Velocity with AI in 30 Minutes As a solo founder or indie hacker, you know that time is your most precious resource. The idea of boosting your coding veloc

Sep 3, 20264 min read
Ai Coding Tools

Why Most Developers Get GitHub Copilot Wrong: 5 Myths Busted

Why Most Developers Get GitHub Copilot Wrong: 5 Myths Busted As we dive into 2026, GitHub Copilot has become a staple in many developers' toolkits. However, despite its popularity,

Sep 3, 20263 min read
Ai Coding Tools

How to Use AI Coding Tools to Boost Productivity in Under 2 Hours

How to Use AI Coding Tools to Boost Productivity in Under 2 Hours As indie hackers, we all know the struggle of trying to stay productive while juggling multiple projects. The prom

Sep 3, 20265 min read
Ai Coding Tools

Vercel vs GitHub Copilot: Which AI Tool is Right for Your Project?

Vercel vs GitHub Copilot: Which AI Tool is Right for Your Project? As a solo founder or indie hacker, choosing the right tools can be a makeorbreak decision for your project. With

Sep 3, 20263 min read
Ai Coding Tools

Why GitHub Copilot is Not the Magic Bullet for Every Programmer: Debunking the Myths

Why GitHub Copilot is Not the Magic Bullet for Every Programmer: Debunking the Myths As a programmer, I’ve been there: staring at a blank screen, hoping for a burst of inspiration

Sep 3, 20264 min read