Ruth — of systems & design@RuthMalan@mastodon.social

“So you get bored of it. You go from reading and code-reviewing everything to just skimming it. Soon you barely even do that. LLM code generation breeds laziness, because managing its output is a fucking boring task.”
— Elissa Black, in
goodnameforablog.com/posts/ver

via @dahukanna

Good Name For A BlogVery Average PrototypesEarlier this year, I decided to give AI coding a go. In general, my emotional reaction to doing so was “anger and frustration”, but I found if I used it carefully it sped up what I was doing. It ate at me because all the ethical arguments against using it were strong. Yet, well, indie game dev is a brutal industry that’s only getting harder, I was feeling dispirited, and doing largely solo dev meant that if I could speed up some aspects of what I do… I should at least consider it.
Magnus Ahltorp@ahltorp@mastodon.nu

Replying to an earlier post

@avlcharlie @RuthMalan @dahukanna When dictating, this is a real problem. On the other hand, when transcribing what others say, I find that almost any quality is better than nothing, as it gives me a structure to start from.

But then the goal is to accurately represent what someone else has said, not a creative task in the same way as writing a text is. It can still involve creative decisions, but they are inside the structure that someone else created, so it’s two very different tasks.