A new arXiv paper investigates whether the cleanliness of source code directly impacts the performance of AI coding agents by utilizing a controlled minimal-pair study design. This research aims to isolate the specific effects of code quality, helping developers determine if maintaining pristine codebases is necessary for optimal collaboration with automated programming tools.