You may be correct now and it doesn’t matter one bit.
You may be correct now and it doesn’t matter one bit.
What I do see is that the frontier models can get easy stuff mostly right, but they can’t maintain a small codebase such that it behaves correctly across several mutations. When the going requires a lot of context, tests get rewritten to not do anything and features that manipulate similar data get divergent implementations. That’s fine for goofing around personally, but I see vibe coders getting their asses handed to them when they mistake that for a well maintained codebase and try to sell a product.
Please, don’t mistake an impressive technology for a miracle; there will still be people needed to make codebases healthy for a long time to come.
Vera Rubin datacenters aren't even online yet.
I'm not hanging my hat yet and can still see where LLMs struggle. I think it's the best bet you can make: keep working for the future where you'll still be needed, because you can't prepare for the future where you're not.
This reads like it can write a better javascript function that executes a SQL statement and maps the parameters.
> They’ll get to 95% of most niche coding domains by December and likely all coding tasks sometime next year; 99% better at all tasks by December 2028.
Basing this prediction on LLMs writing what something like an ORM would generate for you doesn't connect for me.