Comment by j_heffe
I think the general resistance from older devs comes from the velocity of software in the past decade. I just connected with a former manager I worked with at IT services from my university and we talked about how crazy tech has moved since my time working there. I had the privilege of working on the data center before the university moved to AWS. The entire backend was written in pure C, running on BSD. We had monitoring scripts written in Perl before getting a contract with Splunk. My manager worked on the design of the distributed file system for the university, and is still an active contributor to the distro. It wasn't the greatest system, but it sure was cool. I'd be a little salty too if some MBA came in and said, "we're moving to AWS, Okta, Workday, and Splunk. And oh by the way, we have to rewrite the system in node.js, and these interns are going to do it. Have fun!"
> he velocity of software in the past decade
Enterprise software is going nowhere but sideways for 2 decades already.
But yes, the velocity of new bullshit with dubious value that is consistently getting add on top of each other is just amazing.
By the way, I still haven't seen any single project get value out of SaaS auth (both auths) systems. Why the hell people use them?
Also, I had to check: "The key to driving your business forward? One powerful AI platform that keeps your most important assets on track, every decision on point, and your fleet of AI agents at peak performance. That’s Workday."
Well, people here still didn't manage to make LLMs do anything useful. That's despite a strong push from the top to use them, and many very smart people. They did manage to design a very promising tool that uses LLM in a way that uses its strengths and add a lot of value (that seems to be completely unparalleled - and we just invited the entire economic sector for a talk), but didn't manage to make it work well yet. So, our fleet of AI agents at peak performance...