Large language model agents have enabled software development through natural-language interaction, but extending this paradigm to end-to-end game development remains challenging. Building a playable
VibeGame is a framework that uses specialized adversarial agents and an AI-native engine to build complete 2D games from natural-language prompts with interactive validation and self-evolving reusable components.
Large language model agents have enabled software development through natural-language interaction, but extending this paradigm to end-to-end game development remains challenging. Building a playable game requires coordinating code, scenes, assets, animations, physics, and configurations, while allowing developers to validate their integrated behavior through interactive testing. We introduce VibeGame, a framework for creating complete 2D game projects from natural-language prompts and optional reference images. Its AI-native game engine represents project state as schema-validated structured text and provides frame-synchronous runtime control, enabling agents to inspect game states,…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
VibeGame: Prompt-to-Game Development with AI-Native Engine and Self-Evolving Adversarial Agent Team was first seen on Hugging Face · Daily papers on Oct 30, 2026. Since then it has appeared in 37 checks on 4 different days. Its best position was #9 of 30, reached on Oct 31, 19:28 UTC. It dropped off the list after Nov 2, 03:28 UTC.
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Not at the moment. It was last on the list on Nov 2, 03:28 UTC, after 4 days of trending.
#9 on Hugging Face · Daily papers, on Oct 31, 19:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 30, 2026 and has been on the list on 4 days (37 checks) since.