Earlier quoted context omitted.
Every LLM I have ever asked about this says they perform better when they receive pretty-printed code because it is easier to see structure and priorities. It has been an almost universal recommendation for me, and it makes sense since LLMs are just mimicking human expression.
you asked the llm? i'm confused you do understand it can't "know" how it performs right?
Again, it makes perfect sense as well based on how they are trained in the first place. Look at how they tokenize whitespace and you will see why it's useful. Each number of repeating white spaces gets a unique token (so 2 whitespaces = token1, 3 whitespaces = token2) - so it actually does make a very clear reinforcing hierarchy readily available. And we all know if there is anything an LLM needs, it is reinforcement of important points.