I trialed GitHub Copilot and used ChatGPT for a bit, but recently I found myself using them less and less.
I’ve found them valuable when doing something new(at least to me), but for most of my day-to-day it seems to have lost it’s luster.
I use https://labs.kagi.com/fastgpt once or twice a week when I need a quick answer about a very obscure subject that is mentioned only once on the internet. It’s free as I’m a Kagi subscriber, and I usually get interesting results. But I don’t copy-paste code, it’s stupid.
I’m a FSE and I use GitHub copilot and Perplexity. I wouldn’t want to code without them anymore.
I want to get things done (especially when I’m at work) and not spent time reading docs or having 20 tabs of stackflow open. I’ve had enough of that lol.
I think everyone here knows copilot but perplexity is a lot smaller and newer. It’s basically like chatgpt but faster and it googles stuff, giving sources for each claim that I can read for myself.
For example, for my latest project I decided to give tailwind a try and instead of having to look through the docs for every little thing I just ask perplexity and it sums it up for me, even giving examples.
And I use copilot a lot for mundane tasks, for example when I write an API that takes an object of type Foo, Copilot auto Fills making variables and checking each for nulls and then I use that API in the frontend copilot already knows what I’m about to do and auto-fills the fetch.
They’re very useful for the boilerplate stuff and it’s somewhat rewarding to type out 3-4 letters, hit tab and wind up with half a dozen lines in a bash script or config file.
They tend to get in the way more for complicated tasks, but I have learned to use them as a psychology trick: if I have writer’s block, I just let them pump out something wrong since it’s easier to critique a blob of text than a blank page.
