Software-factory answer
An AI software factory is a repeatable software delivery system that coordinates specialist AI agents through planning, implementation, testing, review and integration. The factory metaphor describes governed production infrastructure—durable state, work boundaries, evidence and authority—not an unlimited generator that turns any prompt directly into production code.
Inputs still require product judgement, and software remains non-repetitive. The useful standardisation is the delivery record: every slice has scope, code identity, test evidence, review and an integration decision.
Architect, Builder and Review roles create deliberate separation. Nexus Engine coordinates them through persistent project state and schedules the next safe action.
Different models can serve different roles without replacing the authority layer.
A factory should optimise verified, integrable outcomes rather than generated tokens or code volume. Human gates remain available for production release and policy exceptions.
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