Comment by bdangubic
1 day ago
> 90% of all code, the "dark matter" of coding, is stuff like boilerplate and internal LoB CRUD apps and typical data-wrangling algorithms that Claude and Codex can one-shot all day long.
most of us are getting paid for the other 10%
If you mean "us" on this forum, I would believe that. I would bet the number of engineers working on stuff "outside the distribution" is overrepresented here.
If you mean "us" as in all software engineers, not at all. The challenge we're facing is exactly that, reskilling the 90% of engineers who have been working on CRUD apps to the 10% that is outside the distribution.
> 90% of engineers who have been working on CRUD apps
I am a 30-year "veteran" in the industry and in my opinion this cannot be further from the truth but it is often quotes (even before AI). CRUD apps have been a solved problem for quite some time now and while there are still companies who may allow someone to "coast" doing CRUD stuff they are hard to find these days. There is almost always more to it than building dumb stuff. I have also seen (more and more each year) these types of jobs being off-shored to teams for pennies on a dollar.
What I have experienced a lot is teams where there are what I call "innovators" and "closers." "Innovators" do the hard work, figure shit out, architect, design... and then once that is done you give it to "closers" to crank things out. With LLMs now the part of "closers" could be "replaced" but in my experience there is always some part, whether it is 5% or 10% that is difficult to "automate" so-to-speak
I agree, I'd say we're talking about the same thing, just in different terms. When I said CRUD apps, it was a crude stand-in for what you call the "closing" work. Over-simplifying, but it's unglamorous, not too complicated, somewhat mechanical, mostly a translation into working code from high-level designs that come down from the "innovators."
But I am concerned precisely because AI is usurping that closing work, which accounts for the bulk of the team. Realistically the innovators will be the only people required. But the innovators are able to do the hard stuff by learning through a lot of hands-on experience and painful lessons, which they typically get by spending a lot of time in the trenches as closers.
And we're only talking about coding here, but this pattern repeats ALL over knowledge work: product, legal, consultancy, finance, accounting, adminstration...
So now the problem is two-fold: how do we get the closers to upskill to innovators a) without the hands-on experience b) faster than AI can replace them?
I can see where Dario is coming from.