The cost of saying yes has changed

AI-assisted code generation has inverted engineering economics: the debate about whether to build a feature now often costs more than building it. The skill shift required is learning to treat AI-generated patches as evidence for scope decisions, not finished products, and distinguishing between code that's cheap to write and changes that are cheap to own. Your engineering team's instinct to debate scope before building is now the expensive part. Use AI to generate a constrained diff in thirty minutes, then decide from evidence instead of guessing - but only ship if a human is willing to own the behaviour six months out.