zlacker

[return to "GitHub Copilot available for JetBrains and Neovim"]
1. ipnon+V5[view] [source] 2021-10-27 18:11:22
>>orph+(OP)
Can any users give their opinion on how it's helping their productivity? What problems are they finding, if any?
◧◩
2. capabl+K8[view] [source] 2021-10-27 18:23:34
>>ipnon+V5
Tried it out for a while, and it's clear that it's trying to get people to be faster at writing boilerplate, not get people to write better code.

I'm a bit scared for what this means as I don't think being able to faster write boilerplate is something worthwhile. The example ed_elliott_asc made is one of those examples where instead of fixing things so you don't have to repeat yourself, copilot makes it easy to just live with the boilerplate instead.

◧◩◪
3. csee+ze[view] [source] 2021-10-27 18:48:54
>>capabl+K8
It's going to be great for exploratory data science. You don't really need stellar, maintainable or extensible code for that, the early stage is largely about iteration speed.
◧◩◪◨
4. manque+pg[view] [source] 2021-10-27 18:56:44
>>csee+ze
Iteration speed also depends on code being well written and performance code, you need to get results faster to iterate faster.

Also if your don't fully understand your code( when generated or copied from SO) as not uncommon with junior developers and data science practitioners, then they struggle to make even small change for the next iteration, because they don't fully understand what their code is doing and how.

When your code is composable or modifiable easily then iterations become faster because you understand what you have written. One of the reasons why analysts prefer Excel if data size is within limits.

[go to top]