The biggest AI skeptics i know are devops/infrastructure engineers.
At this point i believe most of them can not be convinced that LLMs are valuable or useful by any sort of evidence, but if anything could do it, this article could. Well done.
At this point i believe most of them can not be convinced that LLMs are valuable or useful by any sort of evidence, but if anything could do it, this article could. Well done.
Ops engineers [0] are the ones who have to spend weekends fixing production systems when the development team has snuck in "new fangled tools X, Y and Z" into a "bugfix" release.
We have been burned by "new fangled" too many times. We prefer "old reliable" until "new fangled" becomes "fine, yes, we probably should".
[0]: DevOps has now become a corporate marketing term with no actual relevance to the original DevOps methodology
They've been great for helping me with work-related tasks. It's like having a knowledgeable co-worker with infinite patience, and nothing better to do. Neither the people nor the LLM give back perfect answers every time, but it's usually more than enough to get me to the next step.
That said, having good domain knowledge helps a lot. You make fewer mistakes, and you ask better questions.
When I use LLMs for tasks I don't know much about, it takes me a lot longer than someone who does know. I think a lot of people - not just infrastructure people - are missing out by not learning how to use LLMs effectively.
I always just let it write my first draft of docker, k8s and terraform configs.