I agree but this particular example showed nothing about leveraging skill, experience, or intuition. If anything, this is another straightforward example of a one shot ask.
edit: that said, I understand this particular post is about model capability
Very neat. Thank you for sharing! I assume this was one shot as well -what sort of prompt did you use?
I’m sure folks would be interested even in a blog post comparing just this process with different Anthropic models if that’s something you do and need a content idea. :)
I understood it in the spirit of “code is a liability not an asset.” Code still needs to be maintained, changed, etc whether that is by a human or LLM.
In other words, just because more code can be produced quickly does not mean that it is cheap.
edit: I’m maybe hearing your point is that LLMs may change that POV but I think that is TBD.
It's interesting how this is both a nebulous yet concrete idea and how definitions and implementations vary widely. I was having the _exact_ same questions since I've had to newly lean more into the data engineering space at my current gig, so it's helpful to hear these takeaways from folks experienced in the trenches (not just the newbs).
edit: that said, I understand this particular post is about model capability