A good read, but it reminds me that people see the programmer as being there to identify when the AI makes an error or a mistake.

But in my use of AI agents as a programmer and also for other work. I would say that, while yes, you also have to look for mistakes or errors, most of the time I spend is on programming the AI still.

The AI agent has no idea what it must produce, what it's meant to do, when it can alter something existing to enable something new, etc.

And this is true for both functional and non-functional requirements.

Unlike in traditional manufacturing, you've already built your manufacturing pipeline for a precise output, you've got your CAD designs done, you ran your simulations, you've calibrated everything already for what you want.

So most of the work remains that of programming the machine.