Working with AI Feels More Like Leadership Than Coding

Working effectively with AI requires leadership skills rather than traditional coding precision, since AI produces variable outputs from the same input and benefits from shared context and clarified intent rather than exact instructions. The author argues that good AI collaboration involves explaining desired outcomes, setting boundaries, and providing examples—similar to managing people—rather than treating AI like a deterministic compiler. This shift means developers must focus less on issuing commands and more on articulating why work matters and what good results look like.