I'm not the target demographic, but this seems like a step backwards.
Like, once upon a time maybe you gave your jr programmer a list of things to do, and depending on their skill, familiarity with the cli, hangover status, spelling abilities, etc, you'll get different results. So you write a deterministic shell script.
I know there are two polarized camps on the topic of AI coding. Even for people who are concerned about it and prefer to use traditional scripting, there are some benefits worth considering in having runnable, composable prompt modules.
There are some tasks that are challenging to achieve with traditional code, but where modern LLMs perform strongly.
Examples include summarization, complex content formatting and restructuring, natural language classification, and evaluation judgements.
I’ve found that it is useful to be able to easily incorporate these along with traditional Shell scripts and command line tools as part of workflow pipelines. And I hope it can be useful for other people too.