AWS Logo
Menu
Reliving the Classics: Creating the Snake Game with Amazon Q CLI in One Prompt

Reliving the Classics: Creating the Snake Game with Amazon Q CLI in One Prompt

The timeless Snake game — once a staple on early Nokia phones — holds a special place in our childhood memories. Using Python and Amazon Q CLI, I set out to recreate this iconic game experience with just a single prompt.

Published Jun 9, 2025

Introduction

We all had that one iconic game on our early mobile phones that never failed to keep us entertained — the legendary Snake game. Its simplicity, combined with addictive gameplay, taught us timing, precision, and the ironic art of avoiding our own tail.
I was absolutely hooked on it back then!
This time, I set out to rebuild that nostalgic experience using Python and the Pygame library — but with a modern twist. I leveraged Amazon Q CLI to speed up development and bring the classic to life.
Yes, you heard that right — I built my favorite childhood game in just one prompt. Let’s dive in and see how it was done!

Installation and Setup

In my earlier blog posts, I covered how to get started with Amazon Q CLI, explore interactive "vibe coding" with it, and even generate AWS Architecture Diagrams using the MCP Server in just minutes. If you haven’t seen those yet, I highly recommend checking them out before diving in — they’ll help you get the most out of this walkthrough.

Prompt I used with Q CLI:

Create a complete Snake game in Python using the pygame library. The game should include the following features: 1) Snake moves using arrow keys, 2) Randomly appearing food that makes the snake grow, 3) Game over when the snake hits the wall or itself, 4) Real-time score display, 5) A game loop with appropriate frame rate control. Use clean, modular code with comments to explain each section.
In seconds, I got:
  • A structured game loop
  • Snake movement logic
  • Collision handling
  • Score rendering
  • Modular, readable, commented code
Tip``: Q CLI isn't just for code generation - it’s a collaborative developer assistant that also suggests bug fixes, improvements, and explanations for each block of code.

The Output:

Explanation given by Amazon Q CLI1
As Pygame was not installed in my system, Amazon Q CLI suggested me to install pygame to run the game

What I Learned

Working on this project gave me hands-on experience with:
  • Writing event-driven logic in Python
  • Building 2D games using the Pygame library
  • Leveraging AI tools like Amazon Q CLI to boost productivity
  • Organizing code for clarity, reusability, and scalability
  • And most rewarding of all — transforming a nostalgic childhood memory into an interactive digital experience

Try It Yourself!

Feel free to explore, tweak, and expand the game. Add your own touch — whether it’s music, new levels, or wild obstacles.
🎮 Check out the GitHub repo:
👉 https://github.com/Sheikh-Anas-Tauseef/AmazonQCLI-PyGame-Challenge.git
 

Comments