Why it matters
Kevin Hou describes Antigravity’s move toward model-led teams that create specialist subagents, listen for events and generate task-specific interfaces. Examples include an operating-system kernel demonstration and parallel investigations of evaluation differences. The reported costs and completion times belong to particular demonstrations; generated hypotheses and working applications still require independent review.
My takeaway: Give delegated workers explicit budgets and permissions, then inspect the combined result against acceptance criteria. Preserve experiment data and human interventions when evaluating whether parallel agents improve a workflow.