[scuff3d]

Something not mentioned by the article is that the gains seen by "AI native startups" and green field projects are going to be paid for later. Anyone who's worked in software for a bit will tell you that last 20% of a project is a bitch, and it's gonna be worse when you don't understand how anything actually works.

Interestingly, I've worked both ends of the spectrum simultaneously over the last year. I've spent most of my time on a (mostly) legacy system we're adding capabilities too, and I've spent some over time working on an R&D project for my company. In the first, AI had been of limited use. Mostly good for generating helper scripts and data generators, stuff where I don't care and just need a couple hundred lines of code. In the R&D project on the other hand we probably got a years worth of work done in 2 months, but I can already see the problems. We are working in a space none of us are experts in and with a complex library we don't understand. AI got us to a demo of an MVP way quicker then we could have ourself, but actually transitioning that to something useful is going to be a LOT of work.