GrapheneOS is currently defending its use of AI coding tools on Mastodon against complaints by various accounts claiming to be users.

We do not understand where you're coming from or why you're so incredibly angry with us. It's not justified and does not make sense.

you are viewing a single comment's thread
view the rest of the comments
[–] 15 points 1 month ago (8 children)

Reading the comments, wow AI is polarizing. Neither side will budge.

I guess only time will tell, to see if all the AI code will actually come crashing down.

  • source
  • hideshow 8 child comments
  • [–] 14 points 1 month ago (7 children)

    Non AI code has been crashing down for decades, controlled chaos, continuous improvement. We have lots of tools to put metrics on that, and AI assisted code is fairly well crushing those metrics. It's not 100% self sufficient code creation Nirvana, but it might be fairly compared to the Cotton Gin in terms of making the field workers more productive in the delivery of market ready code/cotton.

  • source
  • parent
  • hideshow 7 child comments
  • [–] 18 points 1 month ago* (last edited 1 month ago) (3 children)

    Non AI code has been crashing down for decades,

    i.e. the code that made literally everything until a few years ago? That was crashing?

  • source
  • parent
  • hideshow 3 child comments
  • [–] 16 points 1 month ago (1 child)

    but it might be fairly compared to the Cotton Gin in terms of making the field workers more productive in the delivery of market ready code/cotton.

    Last i heard was that developers FELT like it made them more productive but actually not so much.

  • source
  • parent
  • hideshow 1 child comment
  • [–] 4 points 1 month ago

    Last i heard was that developers FELT

    Several of those studies were published on early 2025 data, LLM agents have been rapidly improving since then. In early 2025 I would agree with the sentiment - it was kind of equivocal for overall productiveness. By early 2026 I'd say it was a much clearer advantage, both in doing the same kind of work faster, but more importantly: in doing better work at the same speed or even a little faster.

  • source
  • parent