It was the best of times, it was the blurst of times!
asks for password hashing
gets code that looks like password hashing, named like password hashing, but, without any of the hashing
hash-lite
I've been using copilot and find it's suggestions are perfectly cromulent.
I turn to copilot whenever I need to embiggen my code
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.
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...
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:
GitHub Copilot analyzes the context in the file you are editing, as well as related files
Tho, I don't know if it allways been that way, maybe they added bigger context later
it works well for me, mostly accurately guesses what I am trying to do, helps a ton with boilerplate code
I’m not understanding the CoPilot hate. It’s an amazing tool if you are competent. Even when it gets it wrong it still saves me 90%+ of the typing then I just correct what it did differently than how I want it.
Boilerplate becomes a breeze and I work way better when I have something to iterate on rather than coming up with it from scratch. It lets me play with and test ideas way faster and sometimes even does it differently than I’d do it which leads to learning new things and/or looking at the problem in a different way. I don’t blindly follow its output, sometimes I reject it wholesale, sometimes I edit it, sometimes it’s literally exactly what I would have typed myself.
thanks for using Leebra!
go to feed...
Isn't that basically how it works?
Just add an additional group of monkeys that aggressively hires and fires the others based on performance
Tada, machine learning
save