Maybe it is
this post was submitted on 01 Oct 2023
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Tbh, copilot was probably the worst AI coding experience I've had. It actually made me less productive and made me question my competency as a programmer at the same time. Straight up did not have a good time. Use Cody or GPT-4 instead.
It is designed for other purposes than GPT models. Next time try to use copilot as autocompletion, not to generate new code. It's excellent in that.
That's how I thought it was supposed to be used. It's "copilot" not "autopilot". I don't need nor want it to write whole functions for me.
Company ran a trial for it, and it worked really well for generating boilerplate code following our existing system design. Sometimes it makes mistakes, but during the trial it was a rare occurence
The company is giving it to us all for free next year, hope it doesn't negatively affect hiring though...
Should be fine. No way they'll assume that the new technology is magic and over promise, under budget, and then start a company death spiral, before cashing out their stock options and doing the same somewhere else. I'm sure glad we don't see that all the time in tech. /s
That's how I was using it; I ended up spending as much time as I was saving going around and cleaning up after it and/or second guessing myself. Basically, because it only operates in the context of the file you're working in, it will suggest garbage half the time if you have to work with resources from other files.
From the docs:
Tho, I don't know if it allways been that way, maybe they added bigger context later
If you have those other files open, it also picks those up. And lately it seems to follow imports too, I feel like
But the propaganda from GitHub said it was making devs 80%+/- more productive!
How could this have happened? /s
it works well for me, mostly accurately guesses what I am trying to do, helps a ton with boilerplate code
It was 55% for me. Higher baseline I suppose. <\s>