The shift to agent-driven development moves the constraint from human capacity to the capacity for human judgment.
Practices designed when human labor was the primary factor of production lose their justification once that constraint is removed.
The artifacts of human-paced coordination add lead time and overhead rather than ensuring quality once the work itself runs at machine speed.
Investment moves from training people to perform the work to training people to specify, judge, and accept the work an agent performs.
Headcount as a proxy for capacity loses meaning when output per person is set by judgment quality, not labor supply.
The first question for any AI program: are we optimizing the legacy process, or are we designing for the new constraint?