Has AI really disrupted everything? Why are many managers both excited and anxious? As the cognitive foundation of this series, this article attempts to strip away the "Linear Acceleration Illusion" and explore the execution efficiency that AI truly changes, as well as the physical constraints and system complexities it remains powerless against.

Why does having more people no longer equal speed? AI drastically improves individual output density but also exponentially amplifies communication noise. This article explores how coordination costs become the Achilles' heel of large teams, and why 5-8 person cross-functional teams are becoming the new normal in the AI era.

Traditional divisions of Frontend, Backend, and Ops are failing. This article explores how AI makes "Full Ownership Engineering" a reality for the first time, and why future organizational structures will be divided by "Responsibility" rather than "Skill".

Why has the full-stack engineer, once considered a "jack of all trades, master of none," suddenly become a hot commodity? This article redefines the technical moat in the AI era: the ability to acquire depth is far more important than the time spent holding depth.

AI is replacing the "training ground" for junior engineers, leaving many low-judgment roles facing elimination. This article explores the survival dilemma of junior engineers in the AI era and provides a growth path from "executor" to "system observer," as well as how managers can cultivate newcomers' ability to "supervise AI."

Coding speed has increased, so why is the project delayed? This article reveals the dark side of AI programming: when "High Quality Error Execution" meets "Low Judgment Supervision," managers will face an unprecedented storm of technical debt.

When AI can handle most basic development work, traditional hiring standards are failing. This article explores how to redefine the value of engineers in the AI era and why managers should hire "delegatable people" rather than just looking at "tech labels."

AI's greatest destructive power is not replacing engineers, but creating "Linear Acceleration Illusion," raising unrealistic expectations from upper management. This article reveals how this expectation trap leads to project failure and emphasizes that managers must become the "Firewall" between the team and unreasonable expectations.

While AI accelerates execution efficiency almost omnipotently, we must soberly realize: it still cannot bear responsibility, handle personnel conflicts, or take the blame for failure. This article delves into the truly irreplaceable value of managers in the AI era, and those boundaries of humanity and ethics that transcend technology.

The changes brought by AI far exceed our imagination, but its core value is not simply "speeding up". This final episode will recalibrate our perception of AI, clarifying its positioning as an "amplifier" rather than a "steering wheel", and summarizing the true competitiveness in the AI era: Judgment, Choice, and Responsibility.

For companies that have not yet established a technical team or have only a very small team, the AI era means a fundamental change in the rules of the game. This appendix provides a guide to avoid pitfalls, telling you why most companies no longer need a "fully configured" IT team, and how to build a truly "accountable" technical core at minimum cost.