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358 points andrewstetsenko | 1 comments | | HN request time: 0.218s | source
1. alganet ◴[] No.44363962[source]
> Dohmke described an effective workflow where AI tools generate code and submit pull requests.

This is kind of vague. What kinds of contributions he's talking about? Adding features, refactoring, removing dead code, optimizing, adding new tests?

The article mentions boilerplate. Is that all current coding AIs can do?

> For instance, spending too much time explaining simple changes in natural language instead of editing the code directly.

Why not write the code directly then? Even less friction.

Again, _it all depends on the kinds of contributions AI can make_.

The fact that they're being vague about it tells me something. If you had a bot that can fix tests (or even get you 90% of the way), you'd be boasting that everywhere. It would be an extraordinary evidence and you'd be very proud of it.

If someone made a PR to my repo adding a bunch of automated boilerplate, I'd be pissed, not encouraged to make it work.