Remember the good old days of playing Snake on your Nokia phone? That simple yet addictive game where you guide a growing serpent around the screen, gobbling up food while avoiding your own tail? Well, I decided to recreate this classic using Amazon Q CLI - Amazon's AI-powered coding assistant that can help you build applications through natural language prompts.
In this post, I'll walk you through my journey of building a fully functional Snake game using nothing but conversational prompts with Amazon Q CLI. Spoiler alert: it was surprisingly smooth and educational!
What is Amazon Q CLI?
Amazon Q CLI is an AI coding assistant that lets you build applications through natural language conversations. Instead of writing code from scratch, you can describe what you want to build, and Q helps generate, modify, and debug code through an interactive chat interface.
The Challenge: Building Snake with Prompts
My goal was simple: create a playable Snake game using only prompts to Amazon Q CLI. No pre-written code, no copying from tutorials - just pure AI-assisted development through conversation.
Game Requirements:
- A snake that moves continuously
- Food that appears randomly on the screen
- Score tracking
- Game over when snake hits walls or itself
- Smooth gameplay with proper frame rate
My Development Journey
Starting Simple: "Build me a Snake game"
My first prompt was straightforward:
"Help me create a Snake game in Python using PyGame. I want a basic version with a snake that moves around the screen and eats food."
Amazon Q immediately understood the request and provided a solid foundation with:
- Basic PyGame setup
- Snake movement mechanics
- Food generation system
- Collision detection
The initial code was surprisingly complete and functional!
Refining Through Conversation
What impressed me most was how I could iterate on the game through natural conversation:
Me: "The snake moves too fast, can you slow it down?"
Amazon Q: Adjusted the frame rate and movement timing
Me: **"Add a score display in the top-left corner"
**Amazon Q: Implemented score rendering with proper font handling
Me: "Make the food appear in different colors randomly"
Amazon Q: Enhanced the food system with color variation
Advanced Features Through Prompts
As I got more comfortable, I asked for more sophisticated features:
"Add sound effects when the snake eats food and when the game ends"
"Make the snake speed up slightly as it gets longer"
"Add a game over screen with restart functionality"
"Implement proper boundary collision detection"
Each request was handled smoothly, with Amazon Q explaining the changes and ensuring the code remained clean and well-structured.
Key Features Implemented
Here's what we built together:
Core Gameplay
- Smooth Movement: Snake moves in grid-based steps
- Food System: Randomly placed food items with color variation
- Growth Mechanics: Snake grows when eating food
- Collision Detection: Walls and self-collision end the game
User Experience
- Score Display: Real-time score tracking
- Progressive Difficulty: Speed increases with length
- Game Over Screen: Clear end state with restart option
- Visual Polish: Clean graphics with distinct colors
Technical Implementation
- Efficient Rendering: Optimized drawing loops
- Event Handling: Responsive keyboard controls
- Game State Management: Proper game loop structure
- Error Handling: Robust collision and boundary checking
Code Highlights
While I won't include the entire codebase here, here are some interesting snippets that Amazon Q helped create:
def game_over_screen(score):
"""Display game over screen with restart functionality"""
game_over_sound.play()
game_exit = False
while not game_exit:
game_display.fill(white)
{% embed %}
message("GAME OVER", dark_red, -50, "large")
message(f"Final Score: {score}", black, 0)
message("What would you like to do?", black, 50)
# Create buttons
restart = draw_button("Play Again", 150, 400, 200, 50, green, (0, 200, 0))
quit_game = draw_button("Quit", 450, 400, 200, 50, red, dark_red)
pygame.display.update()
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
quit()
if restart:
game_loop()
if quit_game:
pygame.quit()
quit()
clock.tick(15)
Try It Yourself!
Want to build your own Snake game or try other projects with Amazon Q CLI? Check out the "Build Games with Amazon Q CLI" campaign running until June 20, 2025. You might even earn a cool T-shirt while learning!
Campaign hashtag: #AmazonQCLI
Have you tried building games with AI assistance? Share your experiences in the comments below!
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