I was similarly an AI skeptic 3 years ago. When GPT-4 was the state of the art, I thought we're going to plateau soon because of context size limits (remember back when you had to pay insane money just to get 32K)?
Last year was the first time I saw an AI agent actually debug and fix a non-trivial bug in a satisfactory way. Even then, trying to use it on larger tasks made it clear that it wasn't something I could just hand over the issue tracker to.
Now? I've been using Codex for the past several months to work on a nontrivial project. Which was prototyped in C++ (for library reasons mostly), then had the initial version written in Haskell, and more recently I got it ported to Rust to keep memory use in check on mobile.
These things are not trouble-free, but the sheer amount of progress made in just the last year alone is astounding. Skepticism is well and good, but healthy skepticism ought to yield to tangible evidence.
Good code is a living document that shows intent, and allows ease of maintainability.
Most people feel more productive with chat bots, but often end up wasting more time chasing self-inflicted issues. Same clown-car of Dev-ops proponents no doubt billing by the hour. =3
Last year was the first time I saw an AI agent actually debug and fix a non-trivial bug in a satisfactory way. Even then, trying to use it on larger tasks made it clear that it wasn't something I could just hand over the issue tracker to.
Now? I've been using Codex for the past several months to work on a nontrivial project. Which was prototyped in C++ (for library reasons mostly), then had the initial version written in Haskell, and more recently I got it ported to Rust to keep memory use in check on mobile.
These things are not trouble-free, but the sheer amount of progress made in just the last year alone is astounding. Skepticism is well and good, but healthy skepticism ought to yield to tangible evidence.