ensocode

That was interesting :-D

Thought the same. Do such maps really exist? Who would even use maps like this nowadays when traveling?

Using AI’s naivety can lead to surprisingly creative solutions as well. A bit like going down the rabbit hole with an autistic co-founder.

I tried drawing my life by entering my birth year and location, and it was surprisingly accurate :-D Which, I suppose, says absolutely nothing about the accuracy of the birth years.

I get the point and I’m thankful for the article. I just find “middle of nowhere” and Switzerland a bit hard to reconcile.

Interested as well. Are there any recommended guidelines or blog posts with more details. Thanks.

Interested as well!

right, I think DHH's "Majestic Monolith" is another good approach here

This resonates a lot if you’ve ever worked in system integration.

In practice, most of the complexity comes exactly from what’s described here: every system has a rich internal model, but the moment data crosses a boundary, everything degrades into strings, schemas, and implicit contracts.

You end up rebuilding semantics over and over again (validation, mapping, enrichment), and a lot of failures only show up at runtime.

I’m skeptical about “one model to rule them all”, but I strongly agree that losing semantics at system boundaries is the core problem.

I sometimes think the same, but look at it this way: you’re an IT worker—probably a specialist, at least a bit of a nerd in something. The days when we were seen as “wizards” are gone, sure. Right now a lot of people in business, and at the interface between business and IT, are riding a wave of confidence because of AI. But the difference is: you’re a critical thinker. They’re just using the tool at face value. Anyone can ask AI: “write me this code.” But you understand how things actually work in production—trade-offs, edge cases, long-term consequences. Thats the real leverage. So use AI differently. Don’t just generate code, ask better questions: How does the business actually work? Why is this process done this way? What are we optimizing for? In my perspective it's the normies knowledge that's at risk. A critical thinker with technical skills will have the edge and should get far more out of AI than someone who just feels empowered by it.

small scale farming to get your kids fed