Or it could make abstractions even more important and useful. If it's able to identify common but nuanced patterns across the entirety of github, it could build libraries and frameworks that satisfy them. Then it would fine tune itself based on those tools, and start using those abstractions going forward.
That would improve the consistency and reduce the complexity of software everywhere in a way that gaggles of human engineers across thousands of computers never could.
It would be beneficial for the AI too, as the fewer things it has to keep track of, the more efficiently and accurately it will be able to generate correct applications on top of it. This would cut costs, hallucinations, and allow smaller local models to perform better.
That would improve the consistency and reduce the complexity of software everywhere in a way that gaggles of human engineers across thousands of computers never could.
It would be beneficial for the AI too, as the fewer things it has to keep track of, the more efficiently and accurately it will be able to generate correct applications on top of it. This would cut costs, hallucinations, and allow smaller local models to perform better.