111–120 of 809 posts
It never was a lifetime career, if you don't get the dough by 35 you just failed.
If by software engineering, one means typing code character by character into a text editor, sure it's going to be difficult to find someone to pay you for it. If you mean creating software, well we are creating more software than ever before and the definition of what software is has never been so diverse. I can see many different careers branching off from here.
In 2020, there are two companies that are competitors with each other. They each employ 100 programmers to do their job, and we all know how those organizations operated; perpetually behind, each feature added generating yet more possible future features, we've all lived it and are still largely living it today. In 2026, both companies decide that AI can accelerate their developers by a factor of 10x. I'm not asserti…
Multiple times per week I have the same conversation. It goes something like this: - AI will make developers irrelevant - Why? - Because LLMs can write code - Do you know what I do for a living? - Yes, write code? - Yes, about 2-5% of the time. Less now. - But you said you are a developer? - I did - So what do you do 95-98% of the time? - I understand things and then apply my ability to formulate solutions - But I ca…
> Yes, about 2-5% of the time. There are also those for whom that percentage is higher, let’s say 6-50%. > I understand things and then apply my ability to formulate solutions The AI is coming for that too. You might just be lucky to be in circumstances that value your contributions or an industry or domain that isn’t well represented in the training data, or problem spaces too complex for AI. Not everyone is, not ev…
> The AI is coming for that too.
In that case all [1] non manual work is doomed, until robotics has an LLM moment.
[1] With the exception of all fields protected by politics or nepotism.
I keep reading about how AI will be fine because people can just retrain for different careers. However, I never read what those careers are or who is going to pay for retraining. I certainly don't have the money or time to go back to college and start a new career at the bottom.
The argument is that “that’s what always happened in the past”. Which is true, but it’s true as long as it’s not true. The classic example of how drastically this kind of thinking can fail is Malthusian theory, that populations would collapse because food growth was linear while population growth was exponential. This was true for all of history until Malthus actually made this observation. At a mechanistic level, th…
I really wish seemingly intelligent people would stop using the abstraction analogy (like the article does). The key word is: determinism. Every level of abstraction (inc. power tools, C, etc.) added a deterministic layer you can rely on to more effectively do whatever it is that you're doing - same result, every time. LLM's use natural language to describe programming and the result is varied at the very best (hence…
People always say this but it’s misguided imo. Yes LLMs are not deterministic, but that’s totally irrelevant. You aren’t executing the LLMs output directly, you’re using the LLM to produce an artefact once that is then executed deterministically. A spec gets turned into code once. Editing the spec can cause the code to be updated but it’s not recreating the whole program each time, so why does determinism matter?
But if it's a diversity of things (that use or leverage software development) then you probably have a lifetime career ahead of you.
I've been writing software for over 40 years but I've never seen myself as having a software engineering career. I've been a research assistant in geophysics, a marine technician on research ships, a game developer, an advisor to the UN, and a lot more. Yes all through that I used software, but I did a lot of other things in the process of using it.
Anecdotally, it feels like something materially changed in the US software hiring market at the start of this year to me. It feels like more and more businesses are taking a wait and see approach to avoid over-investing in human capital in the next few years. It also feels like the hiring "signal", which was always weak before, is just completely gone now, when every job you do advertise receives over 500 LLM written…
My guess is companies overhired in COVID and between that experience and an uncertain market they don't want to make the same mistake twice.
Earlier quoted context omitted.
s/software engineer/secretary/ s/creating software/typing correspondence/ In a world where software programming/architecting is solved by AI, value will accrue to people with expertise in other domains (who have now been granted the power of 1000 expert developers), not the people whose skillsets have been made redundant by better, faster and cheaper AI tools.
It could go either way. Don't forget that LLMs also have expertise in the other domains. Who would do better - the chemist with vibe coded app or the developer with vibe coded chemistry?
It is clear to me that SWE and ML research will be subsumed before other domains because labs are focusing their efforts there, in their quest to build self-improving systems.
Maybe if you somehow stick with the same company for your entire career, it could feel somewhat similar... but I doubt it, as 'best practices' and many other things cause it to change.
The days of 'lifetime career' had already gone for most people, way before AI arrived.
Earlier quoted context omitted.
My concern would be whether creating that software pays enough to keep up with skyrocketing costs of living. In the past, the jobs created by automation have generally been lower paid with less autonomy.
> My concern would be whether creating that software pays enough to keep up with skyrocketing costs of living. You might need to relocate to a place with much lower costs of living. This was the idea behind remote working discussed during COVID-19 times: - the company can pay less money because the employee is living at a much cheaper place than the expensive city where the company is located - on the other hand, eve…