When I hear people saying they use them for 80-90% of their code it kind of blows my mind. Like how? Making crazy intricate specs in English seems way more of a pain in the ass to me than just writing code.
I'm a FAANG Sr. Software Engineer, use it both in my company and personal projects, and it has made me much faster, but now I'm just "some other person who made this claim".
I'm skeptical that we aren't inundated with tutorials that prove these extraordinary claims.
Most recently I use Claude 3.5 projects with this workflow: https://www.youtube.com/watch?v=zNkw5K2W8AQ
Quick example, I wanted to make a clickable visible piano keyboard. I told it I was using Vue and asked for the HTML/CSS to do this (after looking at several github and other examples that looked fairly complicated). It spat out code that worked out of the box in about 1m.
I gave it a package.json file that got messed up with many dependencies versions being off from each other, it immediately fixed them up.
I asked it to give me a specific way using BigQuery SQL to delete duplicate rows while avoiding a certain function, again, 1 minute, done.
I have given it broken code and said "this is the error" and it immediately highlights the error and shows a fix.
Especially considering the amount of ai babysitting and verification required. AI code obviously cannot be trusted even if it "works."
I watched the video and there wasn't anything new compared to how I used Copilot and ChatGPT for over a year. I stopped because I realized eventually got in the way, and I felt it was preventing me from building the mental model and muscle memory that the early drudge work of a project requires.
I still map ai code completion to ctrl-; but I find myself hardly ever calling it up.
(For the record, I have 25+ years professional experience)
I didn’t get anything from messing with LLM’s but I also don’t get much use out of stack overflow even as some people spend hours a week on that site. It’s not a question of skill just the nature of the work.
