This article is entirely built on 2 big and wrong assumptions: 1. AI code ability will be the same as is today 2. Companies will replace people for AI en masse at a given moment in time Of course both these assumptions are wrong, the quality of code produced by AI will improve dramatically as model evolves. And is not even just the model itself. The tooling, the Agentic capabilities and workflow will entirely change…
Where are your facts? What is your basis on these future prediction? Sure small code snippets have already improved since gpt2. What about larger applications where layers and layers of abstractions coming from private company sensitive data?
> At the end of the day product is just one area of company development, build the complete e2e ultimate solution with 0 distribution or marketing will not help.
this sounds like PR garbage to me why use "e2e ultimate solution" provide technical details so we can verify what you're saying is true