AI Vibe Coding for Game Development

Games and interactive experiences are a playful but serious part of the portfolio of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who serves as CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Dr. Ang has used AI vibe coding to build and publish a range of games: native Sudoku apps for iOS and Android with on-device puzzle generation and guaranteed unique solutions, word-search puzzle games with difficulty levels, a spinning-wheel app with sound effects and celebrations, and Signal Shift, a tactile neon logic puzzle for the browser. The arvr-playground project generates and reviews WebXR augmented and virtual reality scenes from simple vibe prompts, while AI Kids Academy combines gamified storytelling, coding and game-development activities for young learners, with companion apps on the App Store and Google Play. Dr. Ang has also built GPU-accelerated fractal generators and animated interactive explainers in vanilla HTML, CSS and JavaScript. More than 300 public repositories at github.com/alfredang show how an AI assistant can take an idea from concept to playable prototype in hours, and how much design judgement, testing and polish are still required to make a game genuinely enjoyable and ready for release on a public store. Dr. Ang has learned that AI is excellent at producing mechanics quickly but that pacing, feedback and fun still come from human design choices and plenty of play-testing.

AI Vibe Coding for Game Development follows that path from idea to release. The first topic covers AI vibe coding fundamentals for game development: project setup, game architecture, level design, asset management and user interface basics, with an AI coding assistant generating the starting code from plain-English descriptions. The second topic builds interactive gameplay and game systems, including player controls, physics, animation, scoring, collision handling and simple enemy behaviour, with learners prompting, testing and refining each mechanic until it feels right. The final topic, AI-assisted testing, optimisation and game deployment, covers finding and fixing bugs, improving performance, balancing difficulty and packaging a game for the web or mobile. Dr. Ang demonstrates techniques taken directly from the published puzzle, kids and AR/VR projects, showing how a vague prompt leads to messy code and how a clear specification, small iterations and careful play-testing produce a better result. Participants spend most of the course building their own game, from a simple arcade or puzzle concept to a shareable prototype. No prior game-development experience is needed, though basic familiarity with computers and a creative idea or two will help. Hobbyists, educators, designers and aspiring developers will leave with a playable game and a reusable workflow for the next one. Learners also discuss publishing options, from sharing a web build with friends to the requirements for submitting to mobile app stores, drawing on Dr. Ang's own release experience. Tips on sound, visual feedback and simple polish are shared along the way. To try the games and interactive projects that inspired this course, visit Dr. Ang's portfolio at https://github.com/alfredang.