"In this book, you will learn how to use artificial intelligence to create mini-games. You will attempt to recreate the look and feel of various classic video games. The intention is not to violate copyright or anything of the sort, but instead to learn the limitations and the power of AI. Instead, you will simply be learning about whether or not you can use AI to help you know how to create video games."
"You will use various large language models (LLMs), such as Google Gemini, Grok, Mistral, and CoPilot, to create these games. You will discover the differences and similarities between these tools. You may be surprised to find that some tools give much more context than others. AI is certainly not a cure-all and is far from perfect. You will quickly discover AI's limitations and learn some strategies for solving those kinds of issues. You'll be creating "clones" of some popular games. However, these games will only be the first level and may or may not be fully functional."
An eBook release is available with a paperback expected by mid-February. The content spans 183 pages and measures 6×9 inches. The material teaches using artificial intelligence and large language models like Google Gemini, Grok, Mistral, and CoPilot to create Python mini-games that emulate classic video game look and feel while respecting copyright. The approach tests whether novices can build games via AI prompts, highlights differences among models, and exposes AI limitations. Practical strategies for resolving AI errors are presented. Projects provide first-level clones of Snake, Pong, Frogger, Space Invaders, Minesweeper, Luna Lander, Asteroids, Tic-Tac-Toe, Pole Position, Connect Four, and sprite handling.
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