DigiNews

Summary

The arXiv paper argues that large language model–based coding agents can perform code review tasks at lower cost and higher throughput, potentially replacing traditional human review in software pipelines. It further contends that a naive human-in-the-loop approach is insufficient for scalable, AI-assisted development, and discusses implications for DevOps and software quality practices.