Large language models have made traditional software development faster through intent-driven "vibe coding," where developers describe what they want and let the model generate code. But the same approach has not translated to extended reality, where prototyping intelligent XR experiences is still a major hurdle.
A new arXiv paper, "Vibe Coding XR: Accelerating AI + XR Prototyping with XR Blocks and Gemini," takes on this problem directly. The authors argue that while LLMs have changed how conventional apps are built, XR prototyping has lagged behind, and they propose a system built around XR Blocks and the Gemini model to bring vibe-coding-style workflows to XR.
The abstract is the only portion available in the source, so specific implementation details and evaluation results are not covered here. What is clear is the paper's core claim: the same intent-driven approach that works for traditional software should be adapted to the unique demands of XR prototyping, and the authors believe their combination of XR Blocks and Gemini can do it.