This is going to rapidly happen. All we need are a few more model releases, not even a step function improvement
> Most of the time, I just accept its changes.
This speaks more about the problems at FAANG, other companies, etc than AI vs a human developer. And AI isn't the real fix.
Are we just repeating things 100x a day or is it still so chaotic and immature? Or are we implying that AI is at a point where it's writing Google Spanner from scratch and you're able to review and confirm it passes transactional tests?
Right - "most of my work can be done by Sonnet 3.5" doesn't exactly conjure up an image of a high level or challenging job. It seems the challenge with FAANG companies is getting hired, not the actual work most people do there.
None of the above.
This isn't about how "smart" AI is.
1. Let's assume it was smart and can update a field spanning 1000s of microservices to deliver this new feature. Is this really something you should celebrate? I'd say no. At this point there should have been better tooling and infrastructure in place.
2. Is there really infinite CRUD to add after >10 years? In the same organization where you need >100s of developers all the time? 1s where you'd ignore code reviews and "just accept its changes"? Whether I write code or my colleagues etc I'd have a meaningful discussion about the proposed changes, the impacts and most likely suggest changes because nothing is perfect.
So again, it's about the environment, the organization or at least this individual case where coding isn't just about adding some lines to a file. And that's with AI or not.
I can easily make Claude freak out and run into limits. Claude is amazing but it only works at the abstraction level you ask of it, so if you ask it to write code to solve a problem it'll only solve that immediate problem, it doesn't have awareness of any larger refactorings or design improvements that could be made to improve what solution is even possible.
If you're writing something specific to your particular problem, or thinking through how to structure your data, or even working on something tough to describe in words like UI design, it probably is easier to just code it yourself in most high-level languages. On the other hand, if you're just trying to get a framework or library to do something and you don't want to spend a bunch of time reading the docs to remember the special incantations needed to just make it do the thing you already know it can do, the AI speeds things up considerably.
How on earth are you conveying your intent to the model? Or is your intent so CRUDdy that it doesn't need to be conveyed?
