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Cover image for Amazon Q CLI: Rock Paper Scissor with Python 🕹️
M. Abdullah Bin Aftab
M. Abdullah Bin Aftab

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Amazon Q CLI: Rock Paper Scissor with Python 🕹️

#aws #ai #amazonqcli #amazondeveloper

In this blog post, I'll walk you through my journey of creating a fun Rock Paper Scissors game using Python and Pygame, with the assistance of Amazon Q CLI. I'll cover everything from setting up the development environment to implementing game mechanics and generating custom assets.

🔧 Installing Amazon Q CLI on macOS

Amazon Q CLI is a powerful tool that helped me throughout the development process. Here's how I installed it on my macOS:

First install the AWS CLI using Homebrew:

brew install awscli
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Then I configured my AWS credentials:

aws configure
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Next, I installed the Amazon Q CLI:

pip install amazon-q-cli
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After installation, I verified it was working:

q --version
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I started using Amazon Q by running:

q chat
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In the chat, I asked:

Can you help me structure a Rock Paper Scissors game using Pygame?
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Amazon Q CLI became my coding companion, helping me generate code snippets, debug issues, and even create project documentation.

🎮 Designing the Game Structure

Based on Amazon Q's suggestions, I designed the game with three main states:

  1. Menu State: The main menu where players can start the game.
  2. Playing State: Where players select their move (Rock, Paper, or Scissors).
  3. Result State: Displaying the outcome and allowing players to play again.

I created the main game file structure with Amazon Q's help:

q chat
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I asked:

Can you help me create a main.py file for my Rock Paper Scissors game with state management?
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🎯 Implementing Game Mechanics

For the core game mechanics, I needed to implement:

  1. Player choice selection
  2. Computer random choice generation
  3. Winner determination logic

🎁 Final Thoughts

Building this Rock Paper Scissors game was a fun and educational experience.

Amazon Q CLI significantly accelerated my development process by:

  • Providing code snippets and structure
  • Helping debug issues quickly
  • Generating documentation
  • Offering best practices and optimization tips

The final game includes:

  • An intuitive user interface
  • Smooth animations and transitions
  • Visual feedback with particle effects
  • Custom-generated game assets
  • Multiple game states for a complete experience
  • If you're developing games or any software project, I highly recommend giving Amazon Q CLI a try. It's like having an expert developer by your side, ready to help whenever you need it.

🕹️ To run the game yourself:

git clone https://https://github.com/heighterses/rock-paper-scissor-Q-CLI
cd rock-paper-scissor-Q-CLI
pip install pygame
python main.py

Enjoy playing Rock Paper Scissors! 🎮

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