This content originally appeared on DEV Community and was authored by Yugesh A
Project Overview
I recently developed a fully interactive 2D Minesweeper Game using Python, Pygame, and Amazon Q CLI — AWS’s AI-powered command-line assistant. The experience was both educational and rewarding, especially with AI accelerating my dev workflow.
GitHub Repository:
https://github.com/Yugesh-003/minesweeper-game
Video Demo
See the Minesweeper game in action!
What you’ll see in the demo:
How I used Amazon Q CLI to generate the core game logic
Real-time interaction — clicking to reveal tiles and flagging mines
Game-over and win condition detection with visual feedback
Tools & Technologies Used
🐍 Python 3.6+ – For core game logic and structure
🎮 Pygame – For rendering the board and handling input
🤖 Amazon Q CLI – For generating functions and debugging logic
📦 GitHub – For version control and sharing the project
How Amazon Q CLI Helped
Amazon Q CLI acted as my AI coding assistant throughout the development. I used it for:
Generating logic to recursively reveal tiles
Handling right-click to flag mines
Solving grid-indexing and boundary bugs
Writing reusable functions and adding in-line documentation
Having Q CLI in the terminal felt like pair programming with a Python expert!
Game Features
Customizable grid (default: 10x10 with 10 mines)
Left-click to reveal a tile
Right-click to flag/unflag a tile
Game over when you click on a mine
Recursive tile reveal when there are no nearby mines
Victory detection when all safe tiles are revealed
Mine counter and timer display
Game Controls
Left Click – Reveal a tile
Right Click – Flag or unflag a mine
R Key – Restart the game
Q Key – Quit the game
Code Structure
Tile: Represents each tile’s state and visuals
Board: Manages the grid, mines, flagging, and reveal logic
minesweeper.py: Main file tying everything together with the game loop and rendering logic
Role of Amazon Q CLI
I relied on Amazon Q CLI to:
Draft recursive algorithms for tile revealing
Fix coordinate and boundary issues
Structure classes for better modularity
Speed up boilerplate writing (e.g., Pygame setup, restart logic)
It made solving logic-heavy challenges feel intuitive and quick.
How to Run
Clone the repo:
git clone https://github.com/YOUR_USERNAME/minesweeper-game
cd minesweeper-game
Install dependencies:
pip install pygame
Run the game:
python minesweeper.py
What I Learned
Recursive logic and boundary checking
Clean class-based design in Python
Handling user input and game states in Pygame
How AI tools like Amazon Q CLI can supercharge coding
Final Thoughts
Building this Minesweeper game was a journey of blending classic gameplay with modern AI tooling. If you’re into game development or curious about using Amazon Q CLI, this is a fun and rewarding project to dive into!
Try the Game / Fork the Repo:
https://github.com/Yugesh-003/minesweeper-game
Have ideas, questions, or feedback? Let’s connect!
LinkedIn: Yugesh A
This content originally appeared on DEV Community and was authored by Yugesh A