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.
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.