Building Fun games with Amazon Q Cli

INTRODUCTION

As a developer, I’m always looking for tools that can streamline my workflow, automate repetitive tasks, and enhance productivity. When I first discovered Amazon Q CLI, I was intrigued by its promise of simplifying cloud-based development and AI-assisted coding. Little did I know that it would become an indispensable part of my journey in building Quantum Heist, a unique puzzle-strategy game that blends quantum mechanics with a heist adventure.

In this blog, I’ll cover:
✅ How I discovered Amazon Q CLI and its benefits
✅ Step-by-step development of Quantum Heist using Q CLI
✅ Challenges faced and how I overcame them
✅ Why Amazon Q CLI is a game-changer for modern developers

Discovering Amazon Q CLI

Let's start with the very first
What is Amazon Q CLI?
Amazon Q CLI is a command-line interface tool powered by AWS’s AI assistant, Amazon Q. It helps developers:

Generate code using AI prompts
Automate cloud deployments
Debug and optimize scripts
Manage AWS resources efficiently

🔗 Official Installation Guide: [https://docs.aws.amazon.com/amazonq/]

Now the big question arises Why I Started Using It??
And found I can use it , for more than just giving commands and doing my work

I was working on Quantum Heist, a game that required:
Quantum physics simulations (superposition, entanglement)
Complex Python scripting
GitHub repository management

Manually setting up the project structure, debugging, and pushing to GitHub was time-consuming. That’s when I decided to try Amazon Q CLI—and it transformed my workflow.

🚀 **

Building Quantum Heist with Amazon Q CLI

**
Step 1: Project Initialization
Instead of manually creating folders, I used:

✅ What it did:

Created src/, assets/, docs/, and tests/ folders
Generated starter Python files (main.py, game.py, etc.)

Step 2: Writing the Quantum Mechanics Engine
I needed a QuantumSimulator class to handle:

Superposition (multiple states at once)
Entanglement (linked objects)
Observation (collapsing quantum states)

Instead of coding from scratch, I prompted Q CLI:

✅ Outcome:

Generated a working quantum simulation system
Saved me hours of debugging

Enhancements Added Later:

1. Entanglement Logic:
   

2. Error Handling:
   

Step 3: Pygame Integration
Q CLI-Generated Boilerplate:

Manual Improvements:
Added Event Handling:

Boom!!!! and the game is ready within few minutes :)

quantum_heist/
├── src/
│   ├── main.py          # Entry point
│   ├── quantum_simulator.py  # Core mechanic
│   └── game.py          # Pygame logic
├── assets/
│   ├── images/          # Sprite placeholder
│   ├── sounds/          # Audio placeholder
│   └── fonts/           # Typography
└── requirements.txt     # Dependencies

Final video of how it works actually https://go.screenpal.com/watch/cT1DIxnXuKb

🚨 Critical Problems Solved

Missing Dependencies: Q CLI detected unresolved imports and auto- generated requirements.txt withnumpy and pygame.
Path Conflicts: Translated WSL paths (/home/@username) to Windows (C:\Users\hp) using q cli translate-path.
Pygame Freezes: Added pygame.event.pump() after Q CLI identified event-loop bottlenecks.
State Bugs: Enhanced error handling in QuantumSimulator when Q CLI flagged uncaught KeyError cases.

thanks to Amazon Q CLI for:

Being my 2am coding buddy haha
Fixing bugs before I even noticed them
Making me look way smarter than I am

For
🔗 Full code and setup of this game I have made a dedicated repo https://github.com/IshaSri-17Speed/quantum-heist
🔗 Q CLI Docs: aws.amazon.com/q

May your quantum states always collapse in your favor! Until next time, keep entangling those bits!

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