A new experiment uses autonomous agents to replicate the NanoGPT codebase from scratch. The system iterates through coding and testing cycles to minimize development time. While the project demonstrates agentic coding loops, it remains a small-scale proof of concept. Developers can use these findings to refine automated unit testing in LLM-driven software engineering.