The way to get better is to do it a lot. Every time you dig through a problem to solve it, you're not just learning about that problem - you're learning about every problem near it in the problem space, including the meta-problems about how to get information, solve problems, and test solutions.

In a sense you're slowly building the LLM in your head, but it's more valuable there because of the much-better idea evaluation, and lack of network/GPU overhead.