AmazonQ-Games: A Suite of Offline Mini-Games
Q-Games is a beautifully designed collection of offline mini-games built in Python. Developed using the powerful Amazon Q developer assistant.
Published May 29, 2025
Last Modified May 30, 2025
- Snake – Eat food, grow longer, avoid collisions.
- Chess – Fully playable local chess game.
- Carrom – Simplified version of the classic tabletop game.
- Sliding Puzzle – Solve the 4x4 tile rearrangement puzzle.
- Memory Match – Match card pairs from memory.
All games are accessible through a central launcher window, and everything runs offline with zero external dependencies outside of Python.
- Amazon Q (Q Developer mode)
- Python 3.12 & +
- Tkinter and Pillow (PIL) for GUI and images
- Pygame for sounds
- Python 3.8 or higher
- pip (Python package installer)
- Github - git clone https://github.com/VinayVamsiKanakala/AmazonQ-GameChallenge.git
- cd AmazonQ-GameChallenge
- python -m venv venv
- source venv/bin/activate
- python games_suite.py
Using Amazon Q in my CLI, I described the idea:
"Generate a modular structure where each game is implemented in a separate Python file or module. The launcher should dynamically load and run each game module when selected.The games I want to include are:1. Snake – with increasing speed and score tracking
2. Chess – 2-player mode with basic rules and restart option
3. Sliding Puzzle – 4x4 tile puzzle with move counter and reset
4. Memory Match – grid of hidden cards, match pairs by flipping
5. Carrom – a simplified version with drag-and-flick mechanics
The UI must be clean and modern, preferably with a dark mode theme. UsePillowfor image handling and allow for sound integration usingpygame"
Amazon Q instantly scaffolded a basic Tkinter window and offered a modular structure suggestion.
For each mini-game, I followed a repeatable process using Amazon Q’s suggestions. I would provide prompts, get starter code, and then customize it as needed.
- Prompt Q:
- "Create a 2-player chess game in Python with Tkinter."
- "Build a snake game using Tkinter canvas."
- "Write a memory match game with card flip animations."
- "Develop a sliding puzzle game with 4x4 buttons."
- "Simplify a carrom game using click-and-drag mechanics."
- Customize UI:
- I refined the UI design using prompts
- Adjusted logic as per user experience via prompts
- Integrated game modules into the main launcher using Q prompts
- Dedicated BackGrounds & Game icons:
- I refined the Bg's and downloaded and stored into seperate folder using prompts
- Adjusted icons as per user experience via prompts
Amazon Q Accelerated:
- UI layout suggestions for each game
- Real-time debugging for animation glitches
- Event handling logic (e.g., key bindings, click detection)
- Better modular structure (e.g., using
importlibto load games dynamically)
Directory structure:
Q also helped automate icon loading, game selection, and animation logic in the main canvas.
AmazonQ integrated multiple games into a single interface and each game have a seperate dailog box while playing .
- Suggested and auto-completed Tkinter layout and logic
- Helped debug common animation and event handling issues
- Provided quick game skeletons from prompts
- Boosted productivity by reducing dev time by ~60%
With Amazon Q, building a suite of desktop games became fast, intuitive, and even fun. Whether you're an indie game dev or a Python hobbyist, Amazon Q can supercharge your workflow.