Even if they were somehow measuring all code created in the world, considering it's even easier than copy & pasting general code to ask AI for shitloads of code without even bothering to review it, so code created would be quite a poor metric compared to code put into production at least once.
I guess it depends on how they calculate the percent. I assume it's by character count.
So it wouldn't surprise me. For repetitive code it's pretty good. And even with non repetitive code, once you start typing a bit it is good at finishing it.
Especially in a verbose language like Java. How much of copilot use is something that autocomplete would have handled anyways?
> Case in point: When we first launched GitHub Copilot for Individuals in June 2022, more than 27% of developers’ code files on average were generated by GitHub Copilot. Today, GitHub Copilot is behind an average of 46% of a developers’ code across all programming languages—and in Java, that number jumps to 61%.
I'm not sure what this means. GitHub does not have the ability to measure Copilot usage across all code written anywhere in the world, so surely it can't be that. Do they mean code generated by Copilot as a fraction of code produced by someone using an IDE with the Copilot plug-in? That number still seems high to me.
[1] https://github.blog/2023-02-14-github-copilot-now-has-a-bett...