Hey Devs! 👋
I recently built a maze game using PyGame—and the coolest part? I used Amazon Q to kickstart the project. The result: a fun, theme-customizable, AI-driven race through dynamic mazes. 🏁
In this post, I’ll walk you through how the game works, what tech powers it, and how you can build or customize your own.
🎮 What Is Maze Runner?
Maze Runner is a simple but engaging game where:
- You race through a randomly generated maze.
- You can choose a visual theme (like neon, classic, or retro).
- You can pick your difficulty level.
- And you compete against an AI bot that finds its way through the maze using pathfinding algorithms.
The player and the bot start at the same point—and it’s a race to the goal!
⚙️ Technologies Used
Here's the stack behind the magic:
- 🐍 Python 3 – The main language.
- 🕹 PyGame – To build the graphical game interface.
- 🧠 Pathfinding Algorithms – The AI uses BFS, DFS, or A* to navigate.
- 🤖 Amazon Q – I used this new tool to generate code templates and logic, which really accelerated development.
💡 Why Amazon Q?
Amazon Q is an AI coding assistant from AWS. It helped me quickly scaffold the game logic and handle routine tasks like:
- Setting up the game loop
- Structuring the file layout
- Initializing the PyGame window
- Even writing parts of the AI logic! It’s like having a second pair of (super-fast) hands writing Python alongside you.
🧠 The AI Bot
The bot was one of the most exciting features to build. Using classic algorithms like Breadth-First Search (BFS) or A*, the bot computes the shortest path to the goal.
Want a real challenge? Try beating the bot on hard difficulty—it’s fast!
🖼 Themes and Difficulty
The game supports different themes like:
- 🟩 Classic – Simple and clean, with a traditional green maze layout.
- 🌈 Neon – Vibrant and glowing, perfect for a retro arcade vibe.
- 🌲 Forest – Earthy tones with a natural, wooded atmosphere.
- 🌌 Midnight – Dark mode with starry or mysterious undertones. Maze complexity scales with the difficulty level (grid size, number of dead ends, etc.).
▶️ Try It Yourself
To run the game locally:
git clone https://github.com/divakar166/maze-game-q-cli.git
cd maze-game-q-cli
pip install -r requirements.txt
python maze_game.py
Pick your settings and race against the AI!
🔮 What’s Next?
Some ideas I’m planning to add:
- Sound effects and background music
- Score tracking and leaderboards
- More advanced AI with multiple strategies
- Multiplayer mode (Player vs Player)
👋 Wrapping Up
Building this game was a fun way to sharpen my PyGame and AI skills. Using Amazon Q made the process faster and more structured—I highly recommend trying it out for your next side project.
If you want to test your maze-solving skills or explore the code, check out the GitHub repo.
Feel free to drop feedback, feature requests, or even submit PRs. Let’s build cool stuff together!
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