Earlier quoted context omitted.
For well-intended open source contributions using GenAI, my current rules of thumb are: * Prefer an issue over a PR (after iterating on the issue, either you or the maintainer can use it as a prompt) * Only open a PR if the review effort is less than the implementation effort. Whether the latter is feasible depends on the project, but in one of the projects I'm involved in it's fairly obvious: it's a package manager…
Unfortunately, LLMs generate useless word salad and nonsense even when working on issues text, you absolutely have to reword the writing from scratch otherwise it's just an annoyance and a complete waste of time. Even a good prompt doesn't help this all that much since it's just how the tool works under the hood: it doesn't have a goal of saying anything specific in the clearest possible way and inwardly rewording it…
Despite that, you will make this argument when trying to use copilot to do something, the worst model in the entire industry.
If an AI can replace you at your job, you are not a very good programmer.