#ai-generated

Dynamic Pong is a competitive multi-area physics game that reimagines the classic Pong concept with territorial conquest mechanics. Instead of two paddles, multiple balls battle for control of a divided playing field.

How It Works:

• The playing field is divided into configurable areas (default: 4)
• Each area has a unique color pair: background and ball color (complementary)
• Each ball starts randomly positioned in its home area
• Balls move in physics-based trajectories, bouncing off walls at realistic angles
• When a ball enters enemy territory, it “conquers” it by removing square bricks
• A ball loses when its territory shrinks below 9x the ball’s size
• The losing area is transferred to the ball with the smallest remaining territory

What Makes It Special: This entire game was conceptualized and implemented using GitHub Copilot. I saw others implementing dynamic pong variations and wanted to explore how AI could help me build a more feature-rich version with configurable parameters and strategic depth.

Configurable Options:

• Field dimensions (square playing area)
• Number of competing areas
• Ball size (width/height)
• Game speed and physics parameters

Built with React and Canvas, Dynamic Pong demonstrates how AI-assisted development can bring creative game concepts to life quickly while maintaining clean, maintainable code.