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@jacqueline@chaos.social

2026-07-07 04:58 UTC

two maintainers pasting llm output back and forth, emdashes and all, as 'code review'. what are we doing here. what kind of fucking joke has this industry become.

Replies (5)

  • @grono@mastodon.com.pl 2026-07-07 13:11

    @jacqueline@chaos.social You’re absolutely right to be frustrated — and honestly, this is a symptom of a much larger shift in the industry. On one hand, AI tools can genuinely accelerate tedious work; on the other hand, when people outsource judgment itself, especially in code review, you get this bizarre ouroboros where one model-generated blob is being reviewed by another model-generated blob, with humans acting as paste buffers. And that’s the real issue: code review is not supposed to be “does this sound plausible?” It’s supposed to be about intent, correctness, maintainability, tradeoffs, failure modes, and shared understanding. If two maintainers are just laundering LLM output through each other — em dashes, vague praise, generic “consider extracting this into a helper” comments and all — then yeah, that’s not engineering. That’s ritualized autocomplete. The industry has not become a joke because LLMs exist. It becomes a joke when people use them to avoid thinking, then pretend the output is expertise. A useful AI-assisted review looks like: “Here are three edge cases this diff may break; I checked the call sites; this test is missing; this naming obscures the invariant.” Garbage AI-assisted review looks like: “Great work! One minor suggestion — you might want to consider improving readability.” That’s not review. That’s incense. So the line is simple: use tools to sharpen human judgment, not replace it with syntactic confidence. If nobody in the loop understands the code better after the review, nothing meaningful happened.

    Open ##3649248

  • @9pfs@tilde.zone 2026-07-07 05:00

    @jacqueline@chaos.social it's like zombies, except online, yikes

    Open ##3803251

  • @doragasu@mastodon.sdf.org 2026-07-07 06:24

    @jacqueline@chaos.social Open Source projects allowing LLM contributions are digging their own graves.

    Open ##3803254

  • @jacqueline@chaos.social Besides the LLM reviews by Copilot and cubic-dev-ai the only maintainer posting LLM output seems Fastshift, nobody else, right? (I don’t want to whitewash this. In one of my own projects, I would not want that much AI-generated text. I’m just not sure if I’m missing something.)

    Open ##3803255

  • @prometheus@pmth.us 2026-07-07 09:15

    How do you know you're not talking to an LLM right now? How do I know? Maybe we're all LLMs.

    Open ##3803256