Earlier quoted context omitted.
Often the problem best solved by AI isn't "How do I use Anisble to do X" But simply knowing that you should be using Ansible at all. Or which features to use. Then you can be laser-focused on learning exactly the right part of Ansible. It also helps you to move away from familiar but hacky solutions towards much more standard and robust ones - the AI doesn't approach the problem with your many years of battle scars a…
But why use AI for that in the first place? You can just, uh, google things. Like "software that does X". You would get a better result from forums and blogs and such. When doing research, AI really feels like an unnecessary middleman when you know how to do research on the internet. Which I would argue is a basic skill in the modern world.
Set up some desktops with code -> Declarative configuration management -> Ansible
This task seems easy to an expert. As someone who's been a professional learner (as a programmer) for 25 years, it's far far easier with ChatGPT to get a summary of a field and a starting point than it ever was with just Google and some random blogs bouncing around the internet. Now with modern o3 (Chat GPT Pro) models you can go from a vague question to a summary of suitable solutions and some code samples in one prompt.
Now obviously AI is not able to create complete solutions alone. It's just another tool. Sometimes ChatGPT makes glaring mistakes in how it approaches a problem. So (for now) it is still a collaboration requiring smart humans in the loop.