
I Built a Car Racing Game Using Amazon Q CLI! ๐น๏ธ
Built a fast-paced Car Racing Game in Python using Pygame with help from Amazon Q CLI for AI-assisted development.
Published May 23, 2025
In this game, the player controls a red car racing along a three-lane road, dodging oncoming traffic. With smooth lane-switching, dynamic difficulty, and high score tracking, the game is both fun and challenging.
Amazon Q CLI made game development faster, smarter, and more enjoyable. I used it to:
- ๐งฑ Scaffold the Pygame layout using simple English prompts
- ๐ Generate logic for the player and enemy cars
- ๐ Add scoring, collision detection, and lane switching
- ๐พ Implement high score saving and retrieval
- ๐จ Improve visuals with suggestions like rounded car edges and enhanced lane graphics
- ๐ Three-lane racing with smooth lane-switching
- ๐ฅ Collision detection and a game over screen
- ๐ Score and high score tracking (saved locally)
- ๐ Dynamic difficulty โ enemy cars speed up every 10 points
- ๐ฎ Smooth animations and responsive controls
I built a Car Racing Game using Python + Pygame, where you:
- Control a red car using LEFT and RIGHT arrow keys
- Avoid randomly spawning enemy cars
- Experience increasing speed and intensity as your score grows
- Enjoy a clean, polished UI with high score tracking
Amazon Q CLI was like having an AI coding partner. It helped me:
โ
Generate the base game structure
โ Implement game mechanics and logic
โ Add polish and visual enhancements
โ Debug and optimize the code
โ Save time and focus on gameplay design
โ Implement game mechanics and logic
โ Add polish and visual enhancements
โ Debug and optimize the code
โ Save time and focus on gameplay design
This was an exciting opportunity to explore AI-assisted development. If you love building games or trying out new tools, I highly recommend giving Amazon Q CLI a shot.
Canโt wait to see what others are building! ๐
Letโs keep creating! ๐ช
Letโs keep creating! ๐ช
#AmazonQCLI #Python #Pygame #GameDev #AI #AWS #BuildOnQ
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