Until ~9 months ago, I spent most of my time being a "prompt engineer." Today I join a meeting, ten minutes later I receive the transcript. Then, I run a custom skill in my project, and I get Jira epics and stories to triage that are nearly perfect. Then, I run the second skill orchestration skill... some babysitting... and ~85% of the time that is all I need to do. Docs, code, unit and e2e, great UX... all there after every meeting, and basically two commands on my part.
I see two to three to maybe five years before anything I have to offer, in any capacity, is completely cut out of the picture.
I honestly don't understand how everyone is not on this same page. The labs are going to eat it all. The only reason I see for them to talk about "pausing," is because they finally realized that they are going to collapse the entire service economy around themselves at this rate: aka, the USA.
I guess if the company has no opportunities for growth so they only need exactly as much output as one team? But that sounds like a company that’s doomed anyway, regardless of ai.
How you identify talent in this new world is a different kind of a problem which I don't think people figured out still and won't for quite a while.
It’s actually rough today with astra and fable, it’s just not been diffused enough. Tech workers like us see the writing on the wall, but a lot of others are blissfully ignorant.
I hate to sound pretentious, but I wonder if it’s a difference in complexity of work and problems being solved.
> I hate to sound pretentious, but I wonder if it’s a difference in complexity of work and problems being solved.
It is about complexity, at least for me. I am working on b2b SaaS.
There are times where even using LLM assistance, I spend weeks or months working on a tough problem.
However, the <show product get feedback> loop is now nearly entire automated, when it does not involve some actually complex problem, which are most of the meetings.