I had to convert a build pipeline from just one linux distro to multiple and then get arm64 going. Not the most difficult thing in the world but quite annoying when there's 100 binaries and a complex dep tree with lots of moving pieces. Anyway AI for sure increased project cadence by at least 2x. Not sure why there's so much denial in these threads.
I can also claim a bunch of things. If you manage to read the comment I was originally replying to, and my reply:
--- start quote ---
- Just what kind of evidence do you suppose they could have?
- Showing actual improved products and features. Showing actual code. etc.
--- end quote ---
Note how you provided neither. It's just claims.
> Anyway AI for sure increased project cadence by at least 2x.
As in: you claim this. Also, no one denies that you can ship a lot of code much faster with AI. However, somehow, very little actual evidence of grandiose claims (see farther up in the context) besides anecdotal "I'm so faster and features are being shipped left and right".
Oh, I certainly believe this. LLMs tend to be quite good at the: I'll give you a well-designed example, now extrapolate to other cases-cases.
I think it's a great example of using LLMs effectively. In the end becoming more productive is understanding where LLMs work great and where they fail miserably.
But it is a step similar to, say going from assembly to a higher-level programming language, not the silver bullet that AI astroturfers like you to believe (fire all the programmers to buy more tokens!)
