The article gathers diverse opinions from eight engineers on whether systematic book study remains essential for programmers in the AI age, arguing that combining foundational reading with AI‑assisted practice builds deeper understanding while pure reliance on AI or rote reading alone falls short.
The article argues that while intelligence influences outcomes, anyone can acquire deep, systematic knowledge through concrete practices such as active problem replication, detailed note‑taking, iterative review, and hands‑on experimentation with tools like MySQL and SSH, turning abstract concepts into lasting expertise.
The article explores why knowledge retention varies among engineers, proposes concrete learning practices such as systematic note‑taking, focused "nail" learning, hands‑on experimentation with tools like tcpdump and SSH, and distinguishes between knowledge efficiency and engineering efficiency to help readers build lasting, applicable expertise.
