Haven't heard much about it in a while. My boss at work keeps telling us to use AI to do things AI isn't capable of doing without so many errors it takes more time to review the AI output than to just do it myself.
I noticed a lot of AI datacenters that were talked about mostly all stalled.
What's the current situation on AI?
Considering what Microsoft has been pumping out with Jeets and AI, I would say no, it does not have a use for coding.
You couldn't be more wrong.
I wanted to write an app that builds an ImGui interface around reading from an Android logcat stream, parses it, and then provides ways to interact with the results.
I know how to set up ImGui. I've done it before. I know how to read from a pipe. I've done it before. I know how to spawn background threads to parse output and then synchronize the results with the user interface. I've done it before.
But it still takes time.
Or I just ask Grok, "Hey, I'd like to do this. Can you follow this pattern? (provide previously written code)" and seconds later I've got an entire app. Is it production-ready? No. Is it good enough for what I need it to do, and could it be made production-ready if I needed it to be? Absolutely.
It turned Jeets from worthless to passable Microsoft coders. Seems like it's working. Not AI's fault that Microsoft's standards are so low, is it? Haha.