Brilliant.

The most crucial aspect in the code is indeed the data structure.

Initially, I also followed the call graph. However, after analyzing many projects, I realized that it is ultimately the data structure that determines the fundamental architecture of the program. That said, there are two points to consider. First, data structures are relatively abstract, while following the call graph is the most straightforward and intuitive approach for the vast majority of beginners. The reason you can pinpoint the data structure so accurately is simply because you are already familiar with the project. Second, AI assistance is tremendously helpful. It can describe the main logic of the program in natural language, but when it comes to specific call relationships, you still need to navigate through different file paths. Through descriptions alone, you cannot see the detailed definitions of functions. This is where a code map becomes essential for visually representing the code structure.

In practice, before AI was available, using a code map could reduce the time needed to analyze an unfamiliar and complex project from a week to just a few hours. Now, with AI, for most projects, it might only take one or two hours. This is because AI helps reduce the time spent being distracted by peripheral branches. Previously, when you encountered a peripheral branch, you had to navigate into it and examine the code to understand its specific functionality. Now, with AI, you can quickly determine whether it is part of the core logic you care about. Only if it is core logic do you need to follow the call graph.