What changes in engineering teams once AI tools "click"?

A founder I work with recently ran a small experiment with an engineering team at a Series B company that I thought was interesting; I'm not technical but was curious as to how this session would play out. The setup was simple: six engineers spent a few 2 days experimenting with AI in their real development workflows. Nothing theoretical - just trying things directly against their codebase and normal tasks. A few observations stood out. 1. Initial skepticism was high Several engineers were openly skeptical at the start.