AI technical debt

There is a moment every engineering leader knows. A sprint goes unusually well. Features ship ahead of schedule. The team looks energized, velocity metrics look great, and the product demo is smooth. Then, three weeks later, someone touches that code. I have had this happen twice in the last year — once within a project […]