Two LLMs with the same numbers on important benchmarks could have vastly different behavior in actual deployment. Not sure if as hard to switch as Excel <> Libre but still not "cheap and easy".
Same, it's in a similar vein as pgvector - probably not as performant as turbopuffer or chroma but you get the benefits of being in a really nice ecosystem.
Thought it was interesting to read about how farmers had to reskill as farming subsided as a common profession. In the context of the impact of AI on SWE.
Will this continue to be true? I do agree with the principle. But I've sometimes had the feeling that poor design upfront can have compounding consequences, especially when AI is filling in ambiguities.