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> don't come at me AI enthusiasts! no need to worry; none of them know how to read well enough to make it this far into your comment
Actually they're the only ones who do: copy and paste into chatgpt with "distill this please".
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If Kubernetes didn't in any way reduce labor, then the 95% of large corporations that adopted it must all be idiots? I find that kinda hard to believe. It seems more likely that Kubernetes has been adopted alongside increased scale, such that sysadmin jobs have just moved up to new levels of complexity. It seems like in the early 2000s every tiny company needed a sysadmin, to manage the physical hardware, manage the…
You’re absolutely right that sysadmin jobs moved up to new levels of complexity rather than disappeared. That’s exactly my point. Kubernetes didn’t democratise operations, it created a new tier of specialists. But what I find interesting is that a lot of that adoption wasn’t driven by necessity. Studies show 60% of hiring managers admit technology trends influence their job postings, whilst 82% of developers believe…
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Machinery made farmers more efficient and now there are more farmers than ever.
- Me, the last time it wasn't different
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>Don’t be the SWE working on the assembly line. The job is literally building automation. There is no equivalent to "working on the assembly line" as an SWE. >Not so many lower skill line worker jobs in the US any more, though Because Globalization.
Yes there totally are web development, shovel ware app development, are two that I can think of off the top of my head.
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Machinery made farmers more efficient and now there are more farmers than ever.
ooohhh I think I missed the intent of the statement... well done!
For context: we're the creators of ChatBotKit and have been deploying AI agents since the early days (about 2 years ago). These days, there's no doubt our systems are self-improving. I don't mean to hype this (judge for yourself from my skepticism on Reddit) but we're certainly at a stage where the code is writing the code, and the quality has increased dramatically. It didn't collapse as I was expecting.
What I don't know is why this is happening. Is it our experience, the architecture of our codebase, or just better models? The last one certainly plays a huge role, but there are also layers of foundation that now make everything easier. It's a framework, so adding new plugins is much easier than writing the whole framework from scratch.
What does this mean for hiring? It's painfully obvious to me that we can do more with less, and that's not what I was hoping for just a year ago. As someone who's been tinkering with technology and programming since age 12, I thought developers would morph into something else. But right now, I'm thinking that as systems advance, programming will become less of an issue—unless you want to rebuild things from scratch, but AI models can do that too, arguably faster and better.
It is hard to convey that kind of experience.
I am wondering if others are seeing it too.
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Classic Jevons Paradox - when something gets cheaper the market for it grows. The unit cost shrinks but the number of units bought grows more than this shrinkage.
Of course that is true. The nuance here is that software isn’t just getting cheaper but the activity to build it is changing. Instead of writing lines of code you are writing requirements. That shifts who can do the job. The customer might be able to do it themselves. This removes a market, not grows one. I am not saying the market will collapse just be careful applying a blunt theory to such a profound technological…