『リーダブルコード』 re-read: excess AI code defense hurts readability

The piece is framed as a reading journal rather than a technical report. The author, an engineer with limited experience, picks up 『リーダブルコード』 after years of hearing about it, motivated partly by a belief that even if AI writes more of the code, humans will still need to know what readable code looks like in order to instruct AI to produce it.

Chapter 1's definition, he notes, is that code should minimize the time others need to understand it — not minimize line count — and that this goal rarely conflicts with performance, good design, or testability. He connects that to the current fashion for syntax sugar, arguing that the real test is whether a reader must perform an extra 'translation' step, not whether the syntax is new or short. He also records an unverified impression that AI tends to write defensively, and a hypothesis that the enemy of readability has shifted from overly clever code to over-generated code, where readers must separate what is truly needed from what was merely filled in. He leaves this hypothesis to be tested later, alongside his stated goal of turning what he learns into an AI-agent instruction file and publishing it on GitHub.