In my post about multinational teams I wrote that a colleague’s silence in a meeting could mean at least six different things. They might be thinking deeply, disagreeing strongly, waiting to be invited to speak, fighting a bad connection, processing in a second language or just really needing coffee.

I missed one. There is a seventh meaning now. They are talking to their agent.

Nobody asks me “hey, do you have five minutes?” as often as they used to. The questions didn’t go away. They went somewhere else. The somewhere else never gets tired, never needs coffee and never says “I have no idea, let’s ask someone else.”

I’ve complained before that AI turned me into a project manager for a machine. This post is about the other side of that deal. When everyone has a sidekick, what happens to the team?

Last year I wrote about distroless containers and finished with a small brag: I build my own minimal base image with apko and Wolfi, look how tiny it is, look how few packages it has.

This year I held that image against the standards that serious hardened-image vendors compete on. It failed.

Not because of what was inside the image. The contents were fine. Six packages, no shell, non-root user, signed with Cosign. It failed because of everything around the image and that is exactly where the state of the art has moved.

Early in my career, I assumed everyone worked the same way I did. I thought “professional” meant universal and that technical rigor transcended culture. I was not just incorrect, I was naively wrong.

I’ve spent about twenty-five years working in infrastructure engineering, almost always in multinational distributed teams. I’ve been the formal manager of an infrastructure team twice in my career, but mostly I’ve been on the other side, a team member trying to figure out how to work with people who think, communicate, and collaborate completely differently than I do. Right now, I’m in a team of seven people where every single person has a different nationality, trying to help, enable and influence while “my way” might not be “their way.” I misjudge people’s preferences regularly and have to repair trust after the fact. It’s uncomfortable every time, but it’s part of the process.

I didn’t sign up to be a project manager. I got into programming because I loved the exploration, making mistakes, finding solutions and moving slowly bit by bit. One day I needed system tool then I wrote some C, the other time I needed some glue code, so I got comfortable with Perl or Bash. Needed to created website? Well… PHP was the languge for it - basically whatever was up to the job. I never learned any of these to the level of a professional, was never interested.

I’ve enjoyed solving puzzles, one at the time, it was creative freeform craft. It was messy, it was dounting. It was fun, sooo much fun!

Now I spend my days writing prose about code instead.

Kent Beck calls AI code agents the genie in the bottle: you get what you wish for, not what you want. He’s right, but in ways I did not expected.

One of the things I care deeply about is helping other engineers grow. Over the last year, I’ve had a lot of conversations, some with folks just entering the field, others with seasoned pros, asking the same question: how is AI going to reshape our work? There is fear and uncertainty, but also some optimism.

There’s a rhythm to these tech cycles.

I’ve seen it before, big promises, huge hype, sweeping predictions. Right now, we’re being told that AI will replace entire roles, maybe entire industries. It’s the same energy we saw with self-driving cars. For years, we were told they were just around the corner. But today, in 2025, I still don’t see a 40-ton truck rolling down the Autobahn without a driver. Waymo works, yes, but in tightly controlled areas, in a few cities. Meanwhile, here in Europe, truck drivers are still very much in demand.

Ever found yourself knee-deep in a routing incident at 3 AM, frantically switching between terminals and browser tabs trying to piece together BGP data? I’ve been there. You’re chasing down a routing anomaly, your coffee’s gone cold, and you’re clicking through endless forms just to figure out which AS is announcing that suspicious prefix.

What if I told you that instead of switching between terminals and browser tabs, you could use natural language to describe the problem, and then ask the computer to do the work for you?