I just finished a PhD in stats, and before that, studied computer science. I had planned to go back to industry to do software engineering or be a data scientist afterwards.

However, it seems that in the meantime, vibe coding has taken over the software industry and swallowed most data scientist roles. Few open positions, and the ones that do exist are just pushing a button instead of thinking and solving problems. Is this a correct assessment? Should I try to get back in or just find a new career? I am not too keen on staying in academia either.

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[–] 0 points 6 hours ago

Woosh, apparently. Let me explain.

LLMs are virtually nowhere used without some sort of harness these days, most prominently agent harnesses.

Skills are a harness artifact for reusable prompts where we encapsulate small terminology or large processes. People who use them quickly come up with or reuse a skill that will lead the agent to lead interviews to get a common understanding of key issues before going to action.

As for no 2, idk why that's so relevant for automation. Often after an extensive interview the agent proposes solutions like I'd envision them, but much more thoroughly written out, in a quality and consistency that maybe a much reviewed and discussed RFC reaches, but I typically not. Sometimes it suggests solutions that I didn't think of, but when poked it's usually an elegant one. I don't suppose the agent came up with these things itself, but it certainly has read many more books than I did, so that's not objectable.

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