In other words, if we believe what the CEOs of the AI companies claim, we are setting ourselves up for disappointment.

To be fair with OP, the hype about what the tool is "supposed" to be doing ("your accountants will rebuild the ERP over the week end, you don't need programmers, etc...") is setting a dev up for frustration.

Personnaly, I'm trying to learn the "make it write the plan, fix the plan, break it down even more, etc..." loops that are necessary; but I haven't had a use case (yet?) where the total time spent developing the thing was radically shorter.

LLMs make wonders on bootstrapping a greenfield project. Unfortunately, you tend to only do this only once ;)

> LLMs make wonders on bootstrapping a greenfield project. Unfortunately, you tend to only do this only once ;)

This is why LLMs look so impressive in demos. Demos are nearly always greenfield, small in scale, and as long as it launches, it looks successful.