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Bringing this interesting read back to the surface, I (like many) had initially been bewildered by the CAP theorem. This post clarifies the ambiguities and extends the categories of a distributed system. Note, I pasted the wrong link in the submission: this is the post I intended to share: https://dbmsmusings.blogspot.com/2010/04/problems-with-cap-a...


Yep, I thought about that... Still, there's a few hundreds of workflows to migrate, so I was looking for a systematic approach


LLMs are absolutely the right thing to look at for migrating hundreds of "simple" workflows like this.

The hard work will be validating that the code they write for you is exactly right. You would have to do that if you wrote the code yourself, too. The LLMs will accelerate the writing-the-code part but the manual QA work will still be on you: https://simonwillison.net/2025/Mar/11/using-llms-for-code/#y...


It's a bunch of scripts, a few lines long. But again, I haven't seen the totality of them and there might be edge cases with longer scripts.

Thanks for your hint!


if we are talking small scripts, just rewrite in python and make sure that they are called with the right interpreter. use ai if you are not acquainted with the language. ask your managers if they might want to use another language which could be compiled and save on compute time. though not popular, nim is python like, and should do the job admirably.


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