The software factory is already here.

Writing code by hand is becoming optional. Knowing what the system means, what it may do, and how to prove it still works is not.

An agent that can work for hours does not need a longer prompt. It needs a finish line the factory can inspect.

The model can reason. The harness decides what that reasoning is allowed to become.

Giving a business team an agent that can build software does not make that team a software owner. Ownership starts when the thing breaks, drifts, costs money, or needs to die.

Writing the requirement down is not the breakthrough. The breakthrough is making every later stage answer to it—and making the evidence flow back.

A coding agent can have the right tools, a careful plan, and a full context window. None of that matters if the work disappears when the session does.

If an agent writes a change in ten minutes and the organization spends the afternoon repairing it, the ten-minute result is not productivity. It is an invoice sent to the next stage.

A machine can now judge thousands of routine cases for less than the cost of asking a person to open the queue. That changes what you can measure. It does not change what you should trust.

A model can be honestly uncertain and still send the work to the wrong place. The score is not the decision. The consequence is.

A tiny model that makes one narrow decision quickly can change the economics of an agent system. It still cannot tell you whether the system deserves to run.

You can prove that software obeys every rule you wrote and still build the wrong thing. The proof may be flawless. The decision that came before it may not be.

A coding agent inside your editor can feel autonomous while it waits for you at every meaningful turn. If you have to keep watching, the agent is not running the work. You are.