In a perfect world I can see this happening. But with AI increasing or output I think the real bottleneck is work sponsors, business logic and requirements discovery/translating/sign off.
I am seeing more teams and features being rolled faster than before but then discovering that the sponsors (those requesting features and change) either don’t invest the time up front or with timely feedback loops and work stalls or has to be redone as business does not see the results until it’s either live or about to go live.
This has always been the case but I think AI tooling has moved the bottleneck
I desperately want to back to crafting sites by hand and not reach for react/vue as a default. I do a lot of static and tempory sites that do very little
These are kids. Teacher thinks they cheated then mark them accordingly.
Reading that article makes the juniors sound criminal. They are kids they played the game and got caught. So they learn a lesson, move on. But it should not reflect on the rest of their academic life.
But this article isn't about that story. It's about a recent OpenAI white paper which recommended that teachers use ChatGPT - there's no student misconduct involved here.
Agreed, students follow the path of least resistance news at 11. Responsibility belongs with students, parents, and educators, and educators need to set consistent expectations through all grade levels. What did they expect to happen?
I became proactive and managed my managers. I did not and still don’t want to return to management, but the company only viewed progress as working up the management ladder.
I made a case for an almost parallel career path as a technical contributor, my value was not just in company/domain knowledge but also driving quality, reliability, robustness and developing solutions in response to company needs.
While I do assist and fill in for team leaders I still code.
I do a fair amount of mentoring, coaching, research and presentations, my work is still 75% billable as “code”
I think what I am saying don’t be passive, manage the mangers and make a case for what make you happy and benefits the company
Have a listen to this guys lecture on AI and warfare. He explains why we should not fear Skynet instead explains machines capable of selecting targets / people and automatically deciding who should die, their cheep mass production, state of current progress and ways of controlling their use if this needs done.
I am seeing more teams and features being rolled faster than before but then discovering that the sponsors (those requesting features and change) either don’t invest the time up front or with timely feedback loops and work stalls or has to be redone as business does not see the results until it’s either live or about to go live.
This has always been the case but I think AI tooling has moved the bottleneck