Everyone says AI is making software development easier.
That’s only partially true.
While AI accelerates the act of writing code, it also amplifies existing problems. Poor inputs produce poor outputs faster. Weak specifications lead to larger-scale inefficiencies. And teams that prioritize speed without clarity often end up with more rework, not less.
This episode challenges the idea that AI is purely a productivity multiplier. Instead, it explores how AI is exposing deeper issues in how software is planned, validated, and maintained.
AI is unlocking new capabilities, but it’s also introducing new complexity that teams must learn to manage.