Month: March 2026

It feels like every day brings another AI headline.

New models.
New agents.
New capabilities.
New warnings about what jobs are disappearing next.

The pace of announcements right now is dizzying.

But when you’re actually building something, the experience feels very different.

While the headlines swirl around, most of my time is spent doing the same things builders have always done. Debugging systems. Reworking architecture. Testing assumptions. Trying ideas that fail and fixing them.

CoffeeBreak has been a good reminder of that.

AI can generate code quickly. It can suggest patterns and explore solutions. But turning those pieces into a coherent system still requires patience and judgment.

Real progress rarely looks like the headlines.

It looks like slow improvements, small fixes, and occasional breakthroughs after a lot of iteration.

From the outside, AI development looks like a race.

From the inside, it still feels like engineering.

The headlines will keep coming.

Meanwhile, the real work continues. ☕

Lately I have been letting AI do more of the work while building CoffeeBreak.

Not because I think it is better than human developers.
Because I wanted to see what it would actually do.

I let it build a large portion of the backend. I knew the architecture wasn’t the way I would normally do it, but I let it ride. The point was to learn.

Eventually it broke.

So I nudged it.

AI tried to correct the issue, but it kept iterating around the edges instead of fixing the root problem. It was trying very hard not to break anything that might be running.

The problem was that it was already broken.

I nudged it again. Same behavior.
Another iteration. Another partial fix. Still broken.

After two weeks of watching it circle the problem, I finally stepped in and started fixing it myself.

One thing I have always believed as a developer is that when something is broken, the only acceptable outcome is fixing it. You cannot be afraid of making it worse. It already does not work.

Even if you break it further, it is still broken.
Fixing it is the only path forward.

AI struggles with that line of reasoning.

It tries to preserve stability even when the system is already unstable. It optimizes for not breaking things instead of restoring function.

That is an interesting lesson.

AI is incredibly useful. It can accelerate development, generate ideas, and help explore patterns. But it still does not replace ownership of the system.

Someone has to understand when the only option left is to grab the reins and fix the problem.

That part still belongs to us.

CoffeeBreak should be back online soon. ☕

This week felt volatile.

Markets swung on AI headlines.
Layoffs were tied to automation.
Companies raced to release new agent capabilities.
Even a fictional research post managed to rattle investors.

It would be easy to read that as instability.

At the same time, we’ve been deep in alpha testing CoffeeBreak.

And here’s what struck me.

Inside the work, it doesn’t feel chaotic.
It feels incremental.

Bug fixes.
Edge cases.
Logging improvements.
Governance decisions.
Human review loops.

The headlines are loud.
The real work is quiet.

I’ve noticed this pattern before.

During big transitions, fear moves faster than clarity.
Markets react before systems stabilize.

But underneath it all, people are still building.

Still testing.
Still integrating.
Still trying to make things reliable.

That’s the part that doesn’t make headlines.

And maybe that’s the point.

☕