AI is an amplifier. It makes good work and bad work louder alike. The mechanism doesn't care what you point it at. You have to

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That is the main idea of our first article is that AI is an amplifier. It amplifies good things and bad things. It can help translate ancient manuscripts, accelerate learning, and let small teams build systems that previously required entire departments. It can also generate propaganda, poison information systems, scale low-quality decisions, and interfere with elections.

From there, we discuss several takes we keep observing in our industry: whether engineers are being replaced, what happens to juniors, whether AI workflows should be shared or hidden, why refusing to engage with AI is not enough, and what kind of engineering work remains valuable when implementation becomes cheaper.

We want to explore both the technical and human sides of this transition, which includes systems, teams, incentives, hiring, responsibility, and what it means to keep building as the tools around us change every few months.