This on the other hand has actually kind of swayed me over? I think it's still a massive net-benefit for society but I resonated a lot with the author's feelings and I want to understand how to cope with them myself, perhaps by joining groups of people who are still interested in pure software (which AI is a part of now).

The -30IQ line in particular reminded me of DHH's ramblings on Twitter the past few days.

Without the question, they might have never called. But because they called, we usually ended up just talking about other things too. Life. Girls. Work.

I rarely get calls like that anymore. It breaks my heart.

For the last few years, me and my friend have been working on a toy problem together. It's a problem that the most recent wave of LLMs can almost certainly solve and probably even one-shot. We now realize that no one's going to read our paper if we ever decide to publish our work. But we still use our weekly meetings to talk about things and make little progress here and there, come up with new questions, etc. It's bittersweet.

There is admittedly a bit of skill to use these tools, but they’re really not hard to use. For the most part Claude can decipher my typo’d-to-hell prompt and figure out what I want, and even if it gets it wrong the first time I can usually correct it. The hardest part is determining some objective test for Claude Code to test against and “anchor” it, but I still think that’s easier than writing a bunch of unit and integration tests.

I like these tools; I think Claude Code is very useful and even if I didn’t like it I would still use it because it’s clear that’s where the world is headed and I want to stay competitive.

For personal projects I actually care about, I still write code by hand. I do think I write better code than Claude but I would still do it by hand even if I didn’t, just because I realized I was losing my intuition about software because I was outsourcing to Claude for everything.

There are plenty of things that I am honestly fine losing my intuition with. I don’t really derive much enjoyment from reading dmesg logs, and I am more than happy to let a robot have its fun with that, but it can take the mathey shit from my cold dead hands now.

It's getting lonely out there, even if or especially if you've converged on "I don't care much about AI".

Right now, that's the case, but I wouldn't put a Kalshi bet on it remaining that way.

I "grew up," from the days of pure Machine Code.

In Ye Days of Yore, all programmers were expected to understand a core dump, which is a printout (yes, a printout) of thousands of hex numbers, representing the memory of the server, when it crashed.

It's tempting to use this as some kind of bar of competence, but I am constantly astounded at the things that are produced by people that would absolutely freak out at a core dump.

In the early days of compiled/interpreted languages, even top-level programmers wrote in FORTRAN or BASIC. ASM was just getting its feet under it.

I think that we'll be seeing some marvelous stuff.

...as long as Skynet doesn't consider us a threat...

> The discourse around software engineering has gotten dumber. It’s like everyone in the industry lost 30 IQ points. People used to talk about compilers, type systems, logic. Now they talk about “prompts”, “harnesses”, “loops”. The discourse is narrower, shallower, and more repetitive. There’s only so many times I can hear about “agentic harnesses” before I lose my mind.

I agree with the frustration here :)

> You design a revolutionary new programming language: who cares? Maybe Claude cares, for what that’s worth. But humans don’t write or even read the code anymore. The programming language is an implementation detail the humans no longer have to care about.

Perhaps the people who weren't inclined to think about compilers, type systems, and logic before coding agents will never think about those things. If anything, I think about those systems significantly more now, because I view them as ways to describe the search space for the agent ... and perhaps, in the future, even tools to structure agentic latent representations.

So I propose rotating your viewport: yes, perhaps entertain the idea that it doesn't make sense to think about these things for human consumption ... but instead, what if we think of programming language and compiler design as being a tool to control the search space, and suddenly there's lots of new ways to think about these things.

Is this a valuable way to think? I'm not sure, but we should try and find out.

The internet itself seems filled with the AI maximalists who have no end of hype for the latest prompt 'technique' or AI doomers that would skin you alive if you mention you used AI to make a photo once.

Quietly among peers I talk to there seems to be a very different group that exists: those that recognize AI is super valuable for getting a lot of work done but also feel that suddenly the work is so much less exciting than it was before.

Sure, there's the obvious "I enjoy the mechanics of programming" component that's gone but then there's also this general feeling that is hard to shake which feels a little deeper. I've wondered about it. Is it all the layoffs? The suddenly shaky economics for a lot of our companies? The uncertainty of the career's future in general?

I think the author has put their thumb on it well to describe it as a lack of intellectual community. That feels like at least part of it.

Nowadays you ask all of that to codex/claude. And it works. It’s a regression. I don’t mind spending 2h helping a colleague debugging an issue. It’s fun, it creates bonds and we both benefit from it (ofc my employer would think it’s a waste of time, but I couldn’t care less about what executive millionaires think)

1) Be at the top of applying AI. The frontier overestimates of how able the average person is of applying what’s possible now. I would hope that with my software I can make money for a couple of more years. I constantly test my ideas on how far I can scale them through AI and what angles could be not as easily replicated. I’m aware that the average knowledge is catching up and I’m not faster. One could argue that also the expectation of how a software works gets higher. So users have lower attention spans want customized landing pages and UX needs to be more visual intuitive. So part of the gain in downstream benefitting users.

2) You can argue very long about 1) and I have arguments for both sides. So far it works for me and the numbers are on my side, however on the other side my plan B or 2) in this case is getting ready for life outside. I’m going in front of the camera I’m improving my talking skills I’m try to learn to build things. If you want if all knowledge work is gone. It’s literally entertainment, work with your body, serving or selling. I personally like entertainment most of that.

I’ve been trying to predict and I’ve changed my mind often, so now I’m just saying I don’t really know how the world’s gonna change.

I feel like you can write a parody of this for every lower->higher level language change that's happened throughout history. I know LLMs are bigger change than going from ASM->C but it rhymes, at least to me. And I've never liked C, I've used pointers a handful of times in college and then thankfully never had to think about it again. I work in higher-level languages and that's not a thing I need to concern myself with.

I'm sure that statement will encourage name calling by some people or gasps in horror by people who work in C or similar languages but I've never enjoyed them. I find technology, computers, and program languages all fascinating and enjoy learning the history of it. I enjoy things like the Crash Bandicoot blog series talking about all the tricks they had to do to get the game to run on underpowered hardware and a SDK that didn't know what it wanted to be (my own re-wording) but I don't pine to go back to those days.

I see LLMs as just a step up the stack and making it easier for more people to create. Will it create a loss of parts of the art of programming? Undoubtedly. But I imagine there is a long list of people who used to be really good at some aspect of programming that a higher-level language removed the need for, that happens. This is happening on a _much_ larger scale, no doubt but it's the same concept.

> We care, and we should care, about contributing to the world. And if technology makes our contributions superfluous, then what is left?

It's made a specific aspect of our contributions (the actual writing of the code) superfluous but it hasn't removed all the other contributions. Maybe you all are using better models than I am (doubtful, I'm using Claude too) but "Idea -> Implementation" is much faster but "Implementation -> Polished Version" still takes a human (for now), at least in my experience. The LLM still writes the code to get to a polished state but there are tons of little UI/UX things it does badly and needs my guidance on. And, more importantly, writing code was never the hardest part of my job really, it was things like taking requests from the business side and turning them working code. The LLM makes parts of that easier for sure. I love being able to brainstorm and kick ideas around so easily or knock out a POC in an afternoon. However, there is still plenty of "human work" that needs done. I'm sure this will shift further, nothing is ever "settled", but when that happens I'll be looking at the next layer of problems I can solve.

I like solving problems, and yes, the LLM has taken away a whole slew of problems that I used to have to solve myself but I still see an unending ocean of problems to address that will satisfy me the same way writing code used it.

Semi-related: I believe so many people are writing "Software Factories" because it's the "next" problem to solve. Many of us looked up one level in the stack and said, "cool, now that the code is handled, how can I automate/improve the pipelines around that". I feel like as an industry there are many of us who effectively have been working to automate our jobs further, at least as a "background process" in our day-to-day, all along. Now we have a different part of that workflow to automate.

They do have their limits too, but I'd genuinely, objectively say that for me and how my brain is wired, they've given me the "community" context that the world could not really provide.

I do feel like I'm approaching the limits of what they can do there though. It's worse as soon as the things see the prompts of most public-facing harnesses, but even without that, they can only do so much.

Real humans would have a better intellectual community to offer, but for that, you actually need to find them first and hope that your schedules and energy budgets both align.

___

I think as much as we're seeing consequences of AI there, we're even more seeing the consequences of how society itself has been strip mined by big corps and big tech.

Human connection is dead not because of AI but because of Social Media.

Motivation is dead not because of AI or weakness but because spaces and contexts that would foster that have been replaced with corporate-approved standardized gray.

Etc etc.

AI is often not a cause but just an accelerator.

Recently, I'm in a context with extremely talented people I respect and want to impress to some extent. The difference is night and day