We always have to ask what language is it auto-completing for? If it is a strictly typed language, then existing tooling is already doing everything possible and I see no need for additional improvement. If it is non-strictly typed language, then I can see how it can get a little more helpful, but without knowledge of actual context I am not sure if it can get a lot more accurate.
I recall co-pilot demo people using Python. Same demo with GO, C#, Rust would have less impact.
CatsGoMOW@lemmy.world 2 weeks ago
Same for me, but that glorified auto complete helps a lot.
MeatsOfRage@lemmy.world 2 weeks ago
Hell yea. Our unit test coverage went way up because you can blow through test creation in second. I had a large complicated migration from one data set to another with specific mutations based on weird rules and GPT got me 80% of the way there and with a little nudging basically got it perfect. Code that would’ve taken a few hours took about 6 prompts. If I’m curious about a new library I can get a working example right away to see how everything fits together. When these articles say there’s no benefit I feel people aren’t using these tools or don’t know how to use them effectively.
SkyeStarfall@lemmy.blahaj.zone 2 weeks ago
Yeah, it’s useful, you just gotta keep it on a short leash, which is difficult when you don’t know what you’re doing
Basically, it’s a useful tool for experienced developers that know what to look out for
a_wild_mimic_appears@lemmy.dbzer0.com 2 weeks ago
From the combined comments it looks like if you are a beginner or a pro then it’s great; if you only have just enough knowledge to be dangerous (in german that’s proverbial “gefährliches Halbwissen”) you should probably stay away from it :-)