The software factory is already here.

A code diff can tell you what changed. It cannot tell you whether the product now does what you meant. As agents make implementation cheaper, that missing answer becomes the center of the work.

An agent can find the right tool and still have no business using it. Discovery answers what exists. A factory has to answer what may act, under which conditions, and who proves the result.

AI will erase much of the work that used to produce experienced developers. Preserving that work is not the answer. Building a better route to judgment is.

A model can sound exactly like you for one page and drift into polished mush on the next. That is not a mysterious creative failure. It is an uncontrolled production system.

A written pattern can teach an engineer what good agentic work looks like. It cannot make the next agent follow the rule.

Sending every software task to the strongest model is not a strategy. It is what you do before the factory knows how to route work.

An agent harness turns a model into a worker. It does not turn that worker into a software-delivery system.

If every model release forces your team to relearn how software gets built, you do not have an AI strategy. You have a subscription to operational whiplash.

If your safety system depends on a person reading every line an agent writes, you have not built a software factory. You have built a faster way to exhaust a reviewer.

An agent can finish the coding step faster and still make the company slower. That is not a contradiction. It is what happens when you measure one station and ignore the line.

An agent does not know when the work is done. It knows when the machinery around it has stopped asking for another attempt.

Letting anyone ask for software is useful. Letting anyone quietly become the entire software delivery system is how a fast demo becomes a permanent liability.