The actual project itself (a pxe server written in go that works on macOS) - https://github.com/pxehost/pxehost - ChatGPT put the working v1 of this in 1 message.
There was much tweaking, testing, refactoring (often manually) before releasing it.
Where AI helps is the fact that it’s possible to try 10-20 different such prototypes per day.
The end result is 1) Much more handwritten code gets produced because when I get a working prototype I usually want to go over every detail personally; 2) I can write code across much more diverse technologies; 3) The code is better, because each of its components are the best of many attempts, since attempts are so cheap.
I can give more if you like, but hope that is what you are looking for.
I appreciate the effort and that's a nice looking project. That's similar to the gains I've gotten as well with Greenfield projects (I use codex too!). However not as grandiose as these the Canadian girlfriend post category.
The website https://pxehost.com - via codex CLI
The actual project itself (a pxe server written in go that works on macOS) - https://github.com/pxehost/pxehost - ChatGPT put the working v1 of this in 1 message.
There was much tweaking, testing, refactoring (often manually) before releasing it.
Where AI helps is the fact that it’s possible to try 10-20 different such prototypes per day.
The end result is 1) Much more handwritten code gets produced because when I get a working prototype I usually want to go over every detail personally; 2) I can write code across much more diverse technologies; 3) The code is better, because each of its components are the best of many attempts, since attempts are so cheap.
I can give more if you like, but hope that is what you are looking for.