You need an agent with a large and coherent world model, in order to understand how your programs relate to the real world, in order to solve business tasks.

This isn’t something any program synthesis tech currently available can do, because none of it has a coherent world model.

GPT-3 comes closest to this, but isn’t able to engage in any kind of planning or abstract modeling, beyond semi coherent extrapolations from training data.

Maybe scaling up GPT by a few more orders of magnitude would work, by generating an emergent world model along the way.