My Space Shooter Game Using Amazon Q CLI & Pygame

Introduction

I recently developed a 2D space shooter game using Pygame and integrated the development process with Amazon Q CLI, an AI-powered tool that boosted my productivity. In this blog, I’ll share my experience, game features, and how Amazon Q CLI helped me bring the idea to life!

🔧 Tools & Requirements

Language: Python 3.x
Game Engine: Pygame
AI Assistant: Amazon Q CLI

🎮 Game Overview

My Space Shooter Game has two exciting modes:
Classic Mode: Destroy enemies and conquer the final boss!
Unlimited Mode: Endless fun to see how long you can survive!
Controls:
Arrow keys: Move your spaceship
Spacebar: Shoot
R: Restart after game over
M: Return to the main menu

🛠️ Development Process

The project files:
main.py: Game launcher and main menu
classic_mode.py: Classic mode gameplay
unlimited_mode.py: Endless challenge mode
Each mode has unique enemy behaviors, with difficulty ramping up based on your score. I used Pygame’s built-in modules to handle sprite management, collisions, and animations.

💡 How Amazon Q CLI Helped Me

Amazon Q CLI is an AI-powered tool that assisted me with:
✅ Generating code snippets for different game mechanics
✅ Debugging errors during development
✅ Improving performance of the game loop
✅ Writing clear documentation for my project
Using Amazon Q CLI, I could focus on creative aspects like game design and level progression without getting stuck in boilerplate code.

🚀 Key Game Features

🔹 Classic Mode:
Regular enemies spawn from the top
Mother ship at score 50 (single bullets)
Advanced ship at score 100 (triple bullets)
Big mother ship at score 150 (splitting bullets)
Destroy the big mother ship to win!
🔹 Unlimited Mode:
Enemies keep coming, with mother and advanced ships at milestones
Play until you’re defeated – aim for that high score!

👾 My Experience

Building this game taught me a lot about:
Game loops & event handling
Managing sprites & collision detection
Progressive difficulty scaling
Amazon Q CLI’s real-time suggestions and fixes made the process smoother, especially when I was stuck on implementing new enemy behaviors.

🌟 Play the Game & Explore the Code

Want to try it out or tweak it to your liking? Check out the repository on GitHub:
👉 GitHub Repository:https://lnkd.in/d4vQ-y_F

I’d love to hear your feedback or see your own spin on it! 🚀✨