Ai Coding Tools

How to Use GitHub Copilot to Write Your First Python App in 2 Hours

By BTW Team3 min read

How to Use GitHub Copilot to Write Your First Python App in 2026

Have you ever felt overwhelmed by the idea of building your first app? As indie hackers and solo founders, we often find ourselves stuck in analysis paralysis, especially when it comes to coding. What if I told you that you could leverage AI to speed up the process? In this guide, I’ll show you how to use GitHub Copilot to write your first Python app in just 2 hours. Yes, you read that right—2 hours.

Prerequisites: What You Need to Get Started

Before diving in, you’ll need a few things:

  • GitHub Account: Free to sign up.
  • Visual Studio Code: A popular code editor (free).
  • GitHub Copilot Subscription: $10/month or $100/year for individual use.
  • Basic Python Knowledge: Familiarity with Python syntax and concepts will help, but Copilot can assist you along the way.

Step 1: Setting Up Your Environment

  1. Install Visual Studio Code: Download and install it from the official site.
  2. Install GitHub Copilot:
    • Open Visual Studio Code.
    • Go to Extensions and search for "GitHub Copilot".
    • Click Install and follow the prompts to log in to your GitHub account.
  3. Create a New Python File: Open a new file and save it as app.py.

Step 2: Define Your App Idea

Before we start coding, let’s outline what our app will do. For this tutorial, we’ll create a simple to-do list app that allows users to add and view tasks.

What to Expect

  • Input: User inputs a task.
  • Output: Display the list of tasks.

Step 3: Start Coding with GitHub Copilot

3.1: Generate Basic Structure

Start by typing a comment in your app.py:

# Create a function to add a task

You’ll see Copilot suggest a function. Accept the suggestion (hit Tab), and it will generate a function for you. Repeat this for the function to display tasks.

3.2: Implement User Input

Add the following comment to prompt Copilot:

# Get user input for a new task

Copilot will suggest code to capture user input. Accept it and modify if necessary.

3.3: Complete the App Logic

Continue to build your app by adding comments for each functionality you want, such as:

# Initialize an empty list to store tasks
# Function to display tasks
# Main loop to keep the app running

Step 4: Testing Your App

Once you’ve written your code, it’s time to run it. Open the terminal in Visual Studio Code and run:

python app.py

Expected Output

  • The app should prompt you to enter tasks and display them as you add them.

Troubleshooting: What Could Go Wrong

  1. Import Errors: Ensure you have Python installed and set up correctly.
  2. Syntax Errors: Copilot may not always get it right. Double-check the code it generates.
  3. Functionality Issues: If the app doesn't work as expected, review the logic and ensure all functions are called correctly.

What’s Next: Building on Your Foundation

Once you have your basic to-do app running, consider adding features like:

  • Saving tasks to a file.
  • Adding deadlines for tasks.
  • Implementing a simple GUI with libraries like Tkinter.

Conclusion: Start Here

Using GitHub Copilot can significantly speed up your development process, especially for beginners. You can build a functional Python app in just 2 hours with the right setup and guidance.

If you’re ready to dive into coding with AI assistance, follow these steps and get started today.

What We Actually Use

In our experience, we primarily use GitHub Copilot for rapid prototyping and to overcome coding hurdles. While it’s not perfect, it has saved us countless hours when building MVPs.

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

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time As a developer, whether you're just starting out or have years of experience, debugging can feel like a neverend

Oct 16, 20265 min read
Ai Coding Tools

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow As developers, we’re always on the lookout for ways to streamline our workflow and boost productivity. Enter

Oct 14, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools That Could Hurt Your Development Process

5 Myths About AI Coding Tools That Could Hurt Your Development Process As a solo founder or indie hacker, you might be lured by the promises of AI coding tools that claim to simpli

Oct 13, 20264 min read
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