把部署、建站、AI 与网络问题，写成能直接解决问题的文章。

What is really difficult is to first determine whether what you see is the same problem, and then eliminate a bunch of false clues layer by layer.

The tool itself is not difficult. What is difficult is to go in with a clear question, rather than looking at a bunch of pictures and coming up with no conclusion.

The biggest fear when starting optimization is not distinguishing which tasks belong to the critical path and which ones are just thrown in.

The real trouble with picture problems is that downloading, decoding, scaling, memory usage and display timing are all intertwined.

List lagging is usually caused by the main thread taking on too much work that competes with the current frame during the scrolling process.

Locating the problem type first, and then deciding on tools and analysis paths is more effective than starting full troubleshooting.

What really needs to be optimized are specific issues such as startup, lagging, memory, and power consumption that will directly affect user experience and engineering costs.