Exploring the Capabilities of Qwen 3.8: A Journey into 3D Game Development
Over the past five days, I have been testing and pushing the boundaries of the Qwen 3.8 model, a powerful AI language model with a 96k context window, running on an M1 Max system. My goal was to explore an area I am largely unfamiliar with: 3D game development. This experiment has not only been enlightening but has also demonstrated the remarkable versatility of advanced AI models in creative and technical domains.
My project began with a simple concept: develop a micro-machines style 3D racing game. From there, I iteratively expanded the scope, instructing the model to generate computer-controlled players, reorganize the codebase into multiple files, implement testing routines, and even add audio. As the project evolved, I incorporated multiple levels, obstacles, and phone-compatible controls to enhance gameplay and accessibility.
Throughout this process, Qwen 3.8 proved to be an invaluable tool, assisting with code generation, restructuring, and feature additions seamlessly. The resulting prototype is available for viewing at MicroKarts, and the source code can be found on GitHub at mangelajo/microkarts-qwen3.8-27b.
Reflecting on the timeline, a review of the commit history indicates that what appeared to be a multi-week project was accomplished within approximately 9 to 14 days of dedicated work, showcasing the efficiency and potential of integrating AI into development workflows.
This experiment underscores the rapidly advancing capabilities of AI language models and hints at their potential to significantly impact creative projects, even in complex fields like 3D game development. As AI tools become more sophisticated, they are poised to become invaluable collaborators, accelerating innovation and lowering barriers to entry.
For those interested in exploring AI-assisted game development or seeing a demonstration of what’s possible with Qwen 3.8, I invite you to check out the project linked above. The future of AI-driven creativity is closer than ever, and this project is just a glimpse of what’s achievable.
Project Links:
- Live Demo: MicroKarts
- Source Code: GitHub Repository
Author’s Note: The timeline and effort involved highlight the tremendous potential AI holds for developers and creators. Stay tuned for more updates and innovative applications in this exciting space.
