Competitive programming meets strategic gameplay in Sebastian Lague’s Tiny Chess Bot competition, where developers test their ability to create a formidable AI opponent. Our team’s chess bot placed 69th out of 624 competitors, proving the effectiveness of our approach.
The Tech Behind the Bot
Our chess bot was developed in C# and employed the Minimax algorithm with Alpha-Beta pruning to efficiently search for optimal moves. We also utilized Zobrist hashing to reduce redundant calculations, significantly improving the bot’s speed and decision-making capabilities.
Lessons Learned
Developing a competitive chess AI required not just coding expertise but also an understanding of strategic depth, pruning optimizations, and performance constraints. By leveraging AI techniques, we built a bot that could compete on a global stage.
For those interested in AI and game development, check out our codebase: https://github.com/NTh1nk/CodingChallengeChess.
This project was not only a technical challenge but also a demonstration of how algorithmic thinking can be applied to competitive AI development.