LLMs are eroding my software engineering career and I don't know what to do

Post by fuck_google » Mon, Jun 08, 2026, 7:43 AM UTC

ixeption wrote: post #841

I really think that this blog is part of the IPO story from Anthropic or OpenAI. Because the reality is: A generalist can simply not guide the LLMs through the system nor can he/she verify the output. LLMs are force-multipliers and if there is nothing to multiply, it won't work. As long we don't have AGI, humans will guide AI and if we get AGI, that's not something to even think of anymore. Software engineering was a…

Post by citrin_ru » Mon, Jun 08, 2026, 7:48 AM UTC

doctorpangloss wrote: post #371

GuB-42 wrote: post #333

Earlier quoted context omitted.

> Suno, the AI Music thing. I don't know if y'all have tried it, but it now produces really good stuff I played with it a bit, and no, it doesn't! And I am talking as someone with limited music culture, musicians are likely to be even more critical. For the first few tries, it sounds impressive and the tunes are catchy. It used to sound wrong in the background but they mostly (but not completely) fixed that. However,…

In 2024 some people were saying, illustrators will be fine, the models can't even get the number of fingers right! They were wrong.

Post by snemvalts » Mon, Jun 08, 2026, 7:51 AM UTC

camgunz wrote: post #833

george_max wrote: post #617

I see many comments saying, "AI can't do X with 80-100% accuracy; therefore our professions are in good hands." While I don't want to sound overly pessimistic, the models are improving at a rapid rate. If asked ~3 years ago where the state of the models are today, it would sound like sci-fi if answered, "the models are creating full MVP apps in ~30 minutes with one prompt". The hurdles the models are facing now, like…

Nothing corroborated this. Performance on benchmarks has practically leveled off. The big gains have come from architecture (have a secondary LLM review output) or searching the internet. Also prices are going up. Everything points to the likelihood that we're at the top of the curve.

Post by andy12_ » Mon, Jun 08, 2026, 8:03 AM UTC

camgunz wrote: post #833

george_max wrote: post #617

I see many comments saying, "AI can't do X with 80-100% accuracy; therefore our professions are in good hands." While I don't want to sound overly pessimistic, the models are improving at a rapid rate. If asked ~3 years ago where the state of the models are today, it would sound like sci-fi if answered, "the models are creating full MVP apps in ~30 minutes with one prompt". The hurdles the models are facing now, like…

Nothing corroborated this. Performance on benchmarks has practically leveled off. The big gains have come from architecture (have a secondary LLM review output) or searching the internet. Also prices are going up. Everything points to the likelihood that we're at the top of the curve.

Post by sumedh » Mon, Jun 08, 2026, 8:08 AM UTC

ericmcer wrote: post #373

t34t34r43 wrote: post #113

Earlier quoted context omitted.

Posting this under a burner so I don't dox myself: I work in FinTech on a regulated product. We have access to Mythos. Mythos identified part of our codebase that it confidently asserted was not complaint with a particular regulation and we were at grave risk by allowing it to operate the way it was. Except this was not the case, it had of course hallucinated what the regulation actually required (I know this because…

The dynamic of agent codes human reviews does seem like the only sane one for the foreseeable future. Even Anthropic themselves still fall back to this. The problem is that sucks, even if all software engineers keep their jobs and salaries, the floor is still pulled out from under us. Imagine if a surgeons job was to supervise robot surgeons from a remote computer, or a woodworker just signs off on work before the ma…