AI 時代大翻轉！未來的贏家不是寫程式的人，而是會「指揮」AI 的人

I mapped out how AI agents are actually changing engineering work — not hype, from someone doing it daily. Covers the full progression from LLM-era context engineering to parallel agents to async swarms, with honest failure modes at each stage (including the ones I've personally hit). Also: why the quality bar on PRs needs to go UP when agents generate code, why most orgs will stall at parallelization, and what "dark factory" territory actually means and why you don't want to drift into it acc