Like many technology organizations, when ChatGPT was publicly released, we wanted to compare its answers to those of a regular web search. We experimented by asking technical questions and requesting specific content. Not all answers were efficient or correct, but our team appreciated the ability to provide feedback to improve responses.
We then got more specific and asked ChatGPT for advice using Kubernetes. ChatGPT provided a list of 12 best practices for Kubernetes in production, and most of them were correct and relevant. But when asked to expand that list to 50 best practices, it quickly became clear that the human element remains extremely valuable.