LLMs require a human operator with deep understanding of a problem before they can generate useful code I recently stumbled on this post - a good read that makes the point about being lured into a pitfall of believing that LLMs provide a shortcut around deep learning for their human operator. The Loop Before The Code Software development rarely begins by writing code. Usually, the first step is actually a loop (of sorts): understanding the problem, examining requirements, exploring edge cases...
