alainrk

Right, every technology is suboptimal in the beginning, but constraints will ever exists, energy and hardware in primis. Aldo you have to factor entropy in regardless, complexity remains a cost

Yeah but energy is still a cost, and local inference without batch and multiplexing for many users (like an office would be) is even less optimal. I'm not sure I think it's just pushing the problem forward

Indeed, but I also think structural considerations must be done at the company level on the work model overall

Interestingly hackernews commenters are the main reason of this fear

For context, this is an answer to a more pessimistic outlook here: https://mariozechner.at/posts/2026-03-25-thoughts-on-slowing...

Thank you for explaining that

Man it doesn't post automatically

Great analysis, you should open a blog with your great abilities

That's why LLM exist, you can go there, paste the link and specify the number of words you want the synthesis. Or just take a few minutes and read it entirely. Nobody forces you.

It is not name dropping, the last name is literally mentioned along with the name of the book.

How fun to see that the most common insult in 2026 is that something is AI-generated. Is this comment too? Can you provide the prompt you use and the automation you have to increase your karma points?

Sean Goedecke and many others do the same, is it ok in their case just because more famous?

Agree with this, I've been testing how AGENTS.md and similar can do to automatically have these behaviours and I feel (it's just feeling) it's been improving over time. Clearly depends a lot on the agent, the model, the codebase size and so on.

My complete reasoning, notes, errors have never been part of the commit. I don't see a valid reason on why the raw conversation must be included. Rather I have hooks (or just "manually" invoked) to process all of it and update the relevant documentation that I've been putting under docs/.

I can confirm, happened to me a few days ago

How did you find out?

Have you tried raptor? (https://github.com/gadievron/raptor)

Strawman argument.

Standards and patterns matter, but discernment matters more. The issue isn't reusability itself, it's the cargo-cult adoption of frameworks that solve problems you don't have, when you don't have them.

Your LLM agent works for undiscussed reasons because you made deliberate architectural choices for your specific context. That's engineering. Blindly importing a framework just because "everyone uses it" is the opposite. That's the point, nothing more nothing less.