Tag: AI Engineering

The job isn't disappearing — it's moving up the stack. The most valuable engineers are shifting from authoring code line by line to specifying, directing, and verifying fleets of agents. Here's what that shift actually looks like.

Everyone has access to the same frontier models. The teams that win with AI aren't the ones with the smartest model — they're the ones with the best context. Here's why the organisational brain is the real moat.

The most productive people I know are also the laziest — in the right way. They automate mercilessly, delegate to machines, and refuse work that doesn't need doing. AI makes this approach accessible to everyone. Here's how to be strategically lazy.

The most productive engineers I work with spend more time in conversation than in their editor. They describe, review, and decide — and the code appears as a side effect. This isn't laziness. It's the new craft. Here's what I'm seeing.

We used to measure engineering output in pull requests. That metric is about to break in ways that matter. The real artifact of work is shifting upstream — to the prompt, the spec, the intent. Here's what that means for how we work, review, and hire.