this post was submitted on 03 Dec 2025
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While you're right that it's a new technology and not everyone is using it right, if it requires all of that setup and infrastructure to work then are we sure it provides a material benefit. Most projects never get that kind of attention at all, to require it for AI integration means that currently it may be more work than it's worth.
This is why I say some people are going to lose their jobs to engineers using AI correctly, lol.
"If I need to write boilerplate and learn a new skill, is it really worth it?"
My point was the investment in vs the value out may not be worth it for many projects. Beyond that, it may not be maintainable for all projects (at least with how fast things have been changing in this space and the heavy reliance on 3rd party systems to make it work).
It's professional development of an emerging technology. You'd rather bury your head in the sand and say it's not useful?
The reason not to take it seriously is to reinforce a world view instead of looking at how experts in the field are leveraging it, or having discourse regarding the pitfalls you have encountered.
The Marketing AI hype cycle did the technology an injustice, but that doesn't mean the technology isn't useful to accelerate determistic processes.