Yeah, I’ve been seeing the same. Purely economically it doesn’t make sense with junior developers any more. AI is faster, cheaper and usually writes better code too.
The problem is that you need junior developers working and getting experience, otherwise you won’t get senior developers. I really wonder how development as a profession will be in 10 years
Working on a big codebase, I don’t even get the idea to ask an AI, you just can’t feed enough context to the AI that it’s really able to generate meaningful code…
That’s not a hard limit, for example google’s models can handle 2-million-token context window.
AI isn’t ready to replace programmers, engineers or IT admins yet.
On the other hand… it’s been about 2.5 years since chatgpt came out, and it’s gone from you being lucky it could write a few python lines without errors to being able to one shot a mobile phone level complexity game, even with self hosted models.
Who knows where it’ll be in a few years
Since I already use ZFS for my data storage, I just created a private dataset for sensitive data. I also have my services split based on if it’s sensitive or not, so the non sensitive stuff comes up automatically and the sensitive stuff waits for me to log in and unlock the dataset.
Svn: 20 October 2000
Git: 7 April 2005
I remember using svn when git development was started
which is about exactly as old as git.
Wdym by that?
Everyone is assuming he lost the house. Maybe he got a better job and is moving to a new and better house, closer to the new job
Well, it wasn’t a comment on the quality of the model, just that the context limitation has already been largely overcome by one company, and others will probably follow (and improve on it further) over time. Especially as “AI Coding” gets more marketable.
That said, was this the new gemini 2.5 pro you tried, or the old one? I haven’t tried the new model myself, but I’ve heard good things about it.