I have a strange feeling that we'll see an increasing number of these to the point where we'll start to see legitimate issues in ecosystems as real talent exits (due to projects no longer evolving, being deprecated, etc as a response to AI).
Will be quite funny when there's a noticeable decline in stability and development—despite having AI—because it turns out you actually need talented, creative people to build the building blocks the AI spits out. LLMs can parrot but they're basically the Crazy Town [1] of software development.
> when there's a noticeable decline in stability and development
When?
Presumably, private companies and individuals with the money to pay for tokens continue forward rolling their own in-house solutions and slowly abandon OSS as it rots. What happens when each organization has its own entire stack though? Sure, FAANGs already were like that but most smaller companies were sort of "speaking the same language" and reusing software like apache, mongodb, nginx etc.
Well, people aren’t coding to keep their skills and knowledge fresh.
And they’re not even learning from their AI agents since they’re not closely reviewing the code.
The chance of code quality increasing seems remote.
And that’s not to mention the new generation—having rarely coded enough to properly review code.
Nor to mention the AI learning from AI coded slop: mad cow disease for AI.
What do we have, no programmers, no one knowing what’s going on inside the test passing slopy black box, except a caretaker guy who’s kept their skills sharp by not using AI—with their time taken up trying to understand constantly rewritten code?