AI usage generates a fragile codebase
Summary
AI-driven code can be brittle and hard to maintain. The article outlines four main issues—shallow tests, excessive complexity, reduced human understanding, and rapid AI-driven velocity—that lead to more incidents and slower recovery, arguing for a human-centered approach to building scalable SaaS.