> it isn't smart enough to thoughtfully make comments about how data is pipelined through a complete application My take is that data-centric programming requi

> it isn't smart enough to thoughtfully make comments about how data is pipelined through a complete application My take is that data-centric programming requires too much context for GPT, and we're going to see a move back to doing things in a more OO way, hopefully with better languages than exist now. The ability to reason locally about objects helps both human and AI developers, so we can build larger systems. Data-centric/functional programs are akin to hand-crafted, artisanal goods that were slowly overtaken by standardized parts/division of labor production methods in the industrial revolution, and we are in the middle of one for software [0]. By the ended of it, software engineering may no longer be an oxymoron. 0. https://www.researchgate.net/profile/Brad-Cox-2/publication/3246772_Planning_the_software_industrial_revolution/links/540f00220cf2df04e759dae8/Planning-the-software-industrial-revolution.pdf?origin=publication_detail https://www.researchgate.net/profile/Brad-Cox-2/publication/...