The LLM can act as a global cache for common solutions to common problems, with the ability to perform the integration work necessary to apply them. That prime

The LLM can act as a global cache for common solutions to common problems, with the ability to perform the integration work necessary to apply them. That prime number example is a little bit like when you put a functools.lru_cache decorator on a function in Python. It's faster than computing the function call because it's able to recall the return value for the parameters from the cache "memory". Of course, many skilled programmers are also mainly used a cache for common solutions to common problems organizations have in the programming domain. As humans we can derive satisfaction from being able to tackle the same task others can, as a confirmation of our own progress. We like "doing it ourselves". But globally that's not super interesting if lots of people are constantly re-developing the same solutions to the same problems for their own benefit. I guess that's the push-and-pull (and the anxiety generator).