Even my mom and aunts are using it frequently for all sorts of things, and it took a long time for them to hop onto internet and smartphones at first.

It's a waste of time and energy, and when you're older you'll realize energy is the premium here.

A simple git clone is faster.

So is drinking a sip of water, but neither show what an agentic system can cook up.

Yeah, it feels many SWEs have painted themselves into a corner. They love the nose-to-code-grindstone process and chain themselves to the abstraction layer of today. I don't think it's gonna end well for them, let's see.

This type of comment implies that it’s going to stop with “them” and somehow “us that adopted the LLM” will be the winners. The goal is full automation, there is no “adapt or be left behind”.

I don't think in terms of winners or losers, automation will come for all of us. Some of us will be caught by it later than others.

There is also so much more you can automate and use AI agents for than "programming". It's the world's best rubber duck, for one. It also can dig through code bases and compile information on data flows, data models and so on. Hell, it can automate effectively any task you do on the terminal.

Easy to use, hard to master. Or: low skill floor, high skill ceiling. My output wouldn't be nearly as good without subagents and skills, and MCPs are somewhat required if you deploy tool using agents at scale.

It's like saying all you need is notepad to develop. It's not wrong, but.. you know.

It’s not hard to master. It’s not a skill to be learned —- it’s a tool that comes with a manual. You read the manual and now you can use the tool. Most people never will read the manual which is what gives the false impression that there’s something “to master” here. It’s like saying vím is harder to use than notepad. Not if you read the entire manual first.

I'm not sure how you define skill acquisition, it's reading documentation and doing the skill, yes? The AI landscape shifts rather quickly still, and a new LLM + harness has a different set of functionality, but more importantly different fuzzy failure cases Things a model is particular good at, things that work better if you combine certain systems. All of it is documented, but also fast moving and new things are discovered frequently. In comparison, Vim has been around for decades.

And vum is absolutely harder to use than notepad. Otherwise it's like saying that rocket science isn't hard because you just have to read the documentation to know how to engineer a rocket.

Then continue to write code as a hobby, noone is going to take that away from you. But if you want someone to pay you for hand setting code the way you always have then .. well you might find that harder and harder as time goes on.

Which is why it's so funny to hear seasoned engineers lament the probabilistic nature of AI systems, and how you have to be hand setting code to really think about the problem domain.

They seem to all be ICs that forget that there are abstraction layers above them where all of that happens (and more).

Flow state can happen at various levels of abstraction, not just when hand writing code in a gen 3 language.

I can absolutely not corroborate this, Opus 4.5 has been nothing but stellar.

Copyright infringement is not stealing, and it's not a given that a sale would have happened at all - even if the llicit copy was unavailable.