I think the post is about the state of agentic coders in 10 years, not the present.
Comment on We went from LEARN TO CODE to NO ONE LEARN TO CODE GET A CONSTRUCTION JOB in about a 3 year span.
ZILtoid1991@lemmy.world 1 week ago
LLMs can recite code when asked properly, with a lot of errors. Trying to put code together with it without understanding how said code works is a greater insanity, than making random numbers with mathematics.
The real reason why there’s a downtick in coding jobs is due to Xitter not imploding immediately after the mass firings. Now coders are working overtime with skeleton teams on the same problems, while being overburdened and making more mistakes.
danzabia@infosec.pub 1 week ago
jj4211@lemmy.world 1 week ago
I think AI is a component of the decline.
For decades, companies have operated under the misunderstanding that more software developers equals more success, despite countless works explaining that’s not how it works. As a result many of these companies have employed an order of magnitude more than they probably should have and got worse results than they would have. However the fact they got subpar results with 10x a good number just convinced them that they didn’t hire enough. Smaller team produce better results made zero sense.
So now the AI companies come along and give a plausible rationalization to decrease team size. Even if the LLM hypothetically does zero to provide direct value, the reduced teams start yielding better results, because of mitigating the problems of “make sure everyone is utilized, make sure these cheap unqualified offshored programmers are giving you value, communicate and plan, reach consensus along a set up people who might all have viable approaches, but development into arguments over which way to go”.
AI gives then a rationalization to do what they should have done from the onset.