Interesting use case, mind explaining more?

“Cloud-native natives” had so much free plans that had no need to understand what a basic app really needs.

I remember the first time I got in touch with Elixir and immutability as a core principle. It changed the way I wrote JavaScript since

Making and selling cheese.

I know nothing about it but I’m all in for learning.

I have no rush, AI rekindled my passion for software that was on a plateau for some years

Blessed are the cheese makers

Patterns i keep seeing:

Once you get the dopamine hit of having an ai assistant do something in the real world it becomes an hammer you want to use on everything

Instead of being a problem solver you start to become a problem hunter, and you invent them in order to solve them

> Instead of being a problem solver you start to become a problem hunter, and you invent them in order to solve them

Generic problem of any Linux newbie. You get good at solving problems and it's so enjoyable so you end up creating more of them.

Cough factorio cough :)

Or kubernetes, the factorio for Ops

As someone with a default mode network that is stuck in the "on' position, that game is the only one that I had to quit playing for my mental health.

However here it is not the user solving the problems.

The only thing they solved is remembering "hey, I can use an AI for that".

Sounds similar to buying a 3D printer hehe

Wow, this definitely describes my obsession with AI over the past year, always hunting for problems to solve with it.

Kinda like learning bash. The most annoying time was when I figured out how to send myself SMS via bash script.

This sounds similar to what you feel when learning to program for the first time.

IMO it is 100% this - these AI tools are letting anyone solve problems that were previously in the domain of programmers.

I think despite how much tech keeps getting hyped, the average person didn't have a 'technology' watershed moment in the past decade or more, so they're taking what they can get.

Isn’t that a general engineering problem?

Engineering is the process of planning and implementing the simplest thing that works within given constraints.

There is no planning, implementing, or constraint here.

If engineering is about implementing the simplest thing then why do we call implementing the most complicated thing overengineering and not underengineering?

> There is no planning, implementing, or constraint here.

That's because most AI use is reverse engineering!

Resolving static into a valid problem through the sheer force of squinting at it long enough!

Sounds like it's time for the "engineering" definition to get a modern update.

There is "engineering, the discipline", "engineering, the process", "engineering, the vocation, the career path, the learning process" (and many more). Each hat an engineer wears (based on age and context (has its peculiar aspects which might appear to be contradictory with other phases and not all people walked and thrived through all the phases.

An ‘ammer.

Pure marketing, in a couple years it will start lagging doing basic web surfing, like every other iOS device

That has never been true. My iPhone 15 Pro and iPad M1 have no lag.

Those devices are too young to start lagging. Eventually websites will bloat to the point that you will definitely notice. My estimate is that it will be at the 7 year point.

7 years seems a bit beyond a couple of years. And past the life of most any Apple device.

That’s funnier than it should

Only when you sell something MCP related.

Jokes aside, normies that can hook an MCP in ChatGPT/claude desktop is a real world usecases

For just text notes is very low token usage, i use Opus for everything and a whole week of notes is like 30m of a coding session