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🧙‍♂️ Build a Dark Fantasy RPG in Python with Amazon Q CLI

🧙‍♂️ Build a Dark Fantasy RPG in Python with Amazon Q CLI

Built a 2D RPG in Python with Amazon Q CLI! See how AI-assisted development turned a fun project into a powerful game dev learning experience.

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Huy
Published May 31, 2025

🎮 Game Overview: Dark Fantasy Game

Dark Fantasy Game is a single-player, 2D, offline RPG mini-game set in a grim, medieval fantasy world. You play as a lone warrior battling waves of enemies — mostly goblins — in a side-scrolling environment. Despite its simplicity, the game includes all the basic elements of an RPG:

🔹 Core Features:

  • Player Control: Move the character using arrow keys.
  • Combat System: Press spacebar to attack nearby enemies.
  • Enemy AI: Goblins chase the player and attack on sight.
  • Stats Tracking: Health points (HP), score, and game-over logic.
  • Sprite-Based Animation: Characters and enemies have walking, attacking, and death animations.
  • Basic Game Loop: Start screen, active gameplay, and game-over states.

🧱 Project Structure

dark-fantasy-game/
├── assets/
│ └── sprites/
│ ├── player/
│ └── goblin/
├── dark_fantasy_game.py
├── game_stats.py
├── enemy.py
├── player.py
└── utils/
└── animation.py

⚙️ Using Amazon Q CLI to Build the Game

Amazon Q CLI is an AI-powered assistant that can generate code directly from the terminal using natural language prompts. I used it extensively to bootstrap the game's foundation.

🧍 Player Class Generation

aws q generate python \
--prompt "A player class in pygame that supports movement and attack animation" \
--output player.py

👹 Enemy (Goblin) Class

aws q generate python \
--prompt "Create an Enemy class that chases the player and animates attacks in pygame" \
--output enemy.py

📊 Stats Manager

aws q generate python \
--prompt "Create a StatsManager that tracks player health, score, and game over logic" \
--output game_stats.py

🎞️ Animation Utility

aws q generate python \
--prompt "A function that loads and plays sprite animations from a folder in pygame" \
--output animation.py
From there, I edited the generated code to fine-tune game mechanics, fix bugs, and add sound effects, collision logic, and enemy behavior.

📚 Key Lessons from the Project

✅ 1. Amazon Q CLI greatly accelerated development

I was able to scaffold most of the game’s core structure in minutes using natural language prompts.

✅ 2. Reinforced modular design thinking

Q CLI encouraged me to split logic into separate files and classes — cleaner code, easier debugging, and better organization.

✅ 3. Learned pygame through hands-on generation

Instead of reading documentation line by line, I learned by editing and testing code generated by Q CLI.

✅ 4. AI won’t replace developers — it enhances them

I still had to think through design, fix logic errors, and polish the game. Q CLI just helped me move faster.

🔗 Watch & Explore

📺 YouTube Demo:
https://youtu.be/hO-bxtUiYOQ
💻 GitHub Source Code:
https://github.com/TrQuHuy/dark-fantasy-game

🧠 Final Thoughts

Dark Fantasy Game is not a commercial-grade product — but it’s a complete, functional, and enjoyable mini-game built almost entirely through an AI-assisted workflow.
If you're a Python learner, hobbyist game developer, or just curious about the power of Amazon Q CLI, I highly recommend trying this approach. All you need is an idea, a few terminal commands, and you’re off creating your own game.
 

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