arXiv AI By Lindsey Ferris, Sierra Bonilla

A Case Study in Assuring AI-Written Software

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The article reports a case study of a production healthcare platform that was built using software‑engineering agents and overseen by an operator lacking formal software training. Over time the system evolved into a meta‑agent workflow where one agent wrote code, other agents supervised and reviewed it, and project rules carried lessons forward. The study found that tests, monitors, and reviewing agents were fallible—some measured proxies instead of outcomes, audits failed silently, checks disappeared from reports, and an automated repair caused operational disruption—highlighting that human control relied on aligning the intended outcome, the evidence used to judge it, the agents’ permissions, and the final human decision around the same objective.

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