[6keZbCECT2uB]

Most of my time coding is spent on none of: elegant solutions, complex problems, or precise specifications.

In my experience, LLMs are useful primarily as rubber ducks on complex problems and rarely useful as code generation for such.

Instead, I spend most of my time between the interesting work doing rote work which is preventing me from getting to the essential complexity, which is where LLM code gen does better. How do I generate a heat map in Python with a different color scheme? How do I parse some logs to understand our locking behavior? What flags do I pass to tshark to get my desired output?

So, I spend less time coding the above and more time coding how we should redo our data layout for more reuse.

[Tainnor]

> Most of my time coding is spent on none of: elegant solutions, complex problems, or precise specifications.

I find that deeply sad and it's probably one of the reasons why I'm partially disillusioned in programming as a profession. A lot of it is just throwing stuff at the wall and seeing what sticks. LLMs will probably accelerate that process.