Ye I honestly don't understand his comment. Is it bad code writing? Pre 2026? Sure. In 2026. Nope. Is it going to be a headache for some poor person on oncall? Yes. But then again are you "supposed" to go through every single line in 2026? Again no. I hate it. But the world is changing and till the bubble pops this is the new norm

Sorry, I was not clear enough.

My first word was litteraly "Yes", so I agree that a function like this is a maintenance nightmare for a human. And, sure, the code might not be "optimized" for the LLM, or token efficiency.

However, to try and make my point clearer: it's been reported that anthropic has "some developpers won't don't write code" [1].

I have no inside knowledge, but it's possible, by extension, to assume that some parts of their own codebase are "maintained" mostly by LLMs themselves.

If you push this extension, then, the code that is generated only has to be "readable" to:

* the next LLM that'll have to touch it

* the compiler / interpreter that is going to compile / run it.

In a sense (and I know this is a stretch, and I don't want to overdo the analogy), are we, here, judging a program quality by reading something more akin to "the x86 asm outputed by the compiler", rather than the "source code" - which in this case, is "english prompts", hidden somewhere in the claude code session of a developper ?

Just speculating, obviously. My org is still very much more cautious, and mandating people to have the same standard for code generated by LLM as for code generated by human ; and I agree with that.

I would _not_ want to debug the function described by the commentor.

So I'm still very much on the "claude as a very fast text editor" side, but is it unreasonnable to assume that anthropic might be further on the "claude as a compiler for english" side ?

[1] https://www.reddit.com/r/ArtificialInteligence/comments/1s7j...

If that's the case then that's dumb

The jury on this one is still out.

I too tell my boss to promote me and expect him to do so.

Based on what I have seen, read and experienced, a tech doesn't just go away. It evolves (unless you know one company was building it and then got shut down). Social media in the current form if it went away, would get replaced with something even worse.

From what I’ve heard, people burned out on TikTok are switching to more mindful alternatives. Perhaps what Loops could do is try to capture those people as well?

It made me disgusted reading it so I would say yes it did play with my emotions.

That is the companies problem to solve. They are the ones making the product.

As explained in the article, that is not the product.

> AI reduces the penalty for weak domain context

This is why (personal experience) I am seeing a lot of FullStack jobs compared to specialized Backend, FE, Ops roles. AI does 90% of the job of a senior engineer (What the CEOs believe) and the companies now want someone that can do the full "100" and not just supply the missing "10". So that remaining 90 is now coming from an amalgamation of other responsibilities.

In my mind we will have a bimodal set of skills in software development, likely something like a product engineer (an engineer who is also a product manager-- this person conceptualizes features and systemically considers the software as a whole in terms of ergonomics, business sense, and the delight in building something used by others) and something like a deep-in-the-weeds engineer (an engineer who innovates on the margins of high performance, tuning, deep improvements to libraries and other things of that nature). The former is needing to skill in rapid context switching, keeping the full model of customer journey in their minds, while also executing on technical rigor enough to prevent inefficiencies. The latter will need to skill in being able to dive extremely deeply into nuanced subjects like fine-tuning the garbage collector, compiler, network performance, or internal parts of the DOM or OS or similar.

I would expect a lot of product engineering to specialize further into domains like healthtech, fintech, adtech, etc. While the in-the-weeds engineering will be platform, infra, and embedded systems type folks.

Can I take a guess that you believe you will speciate into the former?

Actually, ideally I'd love to dig deep into and specialize in database management systems internals. I think data engineering in general is the underspoken but fundamental necessity to any sort of application, AI or otherwise, but especially any concept of a data warehouse.

I was learning it and having a great time with it. Unfortunately the job market for it is abysmal. And in 2026 with the current state of the job market I didn't want to focus my time on something that wouldn't help me to get a job. But still the most fun I have had with a language.

Just saw a Discord-weekend take on reddit! Haha. Guy was saying he could create it in a day and then self-host it on his servers so that he doesn't have to put Nitro ads on top of it

Boring Java dev here. Do I just sit this one out?

cons to YOU outway the pros. pros to HIM outway the cons.