The Digital Press

AI-driven code generation promises rapid feature creation but risks exacerbating fundamental misunderstandings in software engineering management shaped by Big Agile practices.

Why it matters: Engineering work involves complex system upkeep, not just delivering visible features, which AI codegen overlooks.

The stakes: Overreliance on AI for superficial tasks can erode foundational software infrastructure, leading to costly failures.

The big picture: Without technical literacy and common sense in leadership, AI hype will deepen management dysfunction and risk critical systems.

Commenters say: Readers appreciate the call for deeper engineering understanding but debate AI's role, with some seeing it as a helpful tool, others warning of hype and mismanagement.