Annie Vella analyzes AI agent supervision for data pipelines

The author explores the shift in data engineering brought by AI agents, arguing that engineers now spend more time testing, reviewing, and directing code than writing it. Drawing on human factors research, the piece highlights how plausible yet subtly incorrect AI outputs create unique supervision challenges in data pipelines, requiring deliberate automation levels and rigorous human oversight. Open article →