I wouldn't bet on it
SlopHub
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I wouldn't bet on it
SlopHub
This has always been the problem with github culture.
On the Linux and GCC mailing lists, a posted patch does not represent any kind of commitment whatsoever from the maintainers. That's how it should be.
The fact that github puts the number of open PR requests at the very top of every single page related to a project, in an extremely prominent position, is the sort of manipulative "driving engagement" nonsense you'd expect from social media, not serious engineering tools.
The fact that you have to pay github money in order to permanently turn off pull requests or issues (I mean turn off, not automatically close with a bot) is another one of these. BTW codeberg lets any project disable these things.
Seems like reading the code is now the real work. AI writes PRs instantly but reviewing them still takes time. Everything flipped. Expect more projects to follow - maintainers can just use ai themselves without needing external contributions.
Seems like reading the code is now the real work. AI writes PRs instantly but reviewing them still takes time. Everything flipped. Expect more projects to follow - maintainers can just use ai themselves without needing external contributions.
In the civic tech hacknight community I'm part of, it's hard to collaborate the same now, at least when people are using AI. Mostly because now code often feels so disposable and fast. It's like the pace layers have changed It's been proposed that we start collaborating in specs, and just keep regenerating the code like it's CI, to get back to the feeling of collaboration without holding back on the energy and speed…
Skynet was evil and impressive in The Terminator. Skynet 3.0 in reallife sucks - the AI slop annoys the hell out of me. I now need a browser extension that filters away ALL AI.
Seems like reading the code is now the real work. AI writes PRs instantly but reviewing them still takes time. Everything flipped. Expect more projects to follow - maintainers can just use ai themselves without needing external contributions.
Understanding (not necessarily reading) always was the real work. AI makes people less productive because it's speeding up the thing that wasn't hard (generating code), while generating additional burden on the thing that was hard (understanding the code).
Then I just took my hosting private. I can’t be arsed to put in the effort when they don’t.
Seems like reading the code is now the real work. AI writes PRs instantly but reviewing them still takes time. Everything flipped. Expect more projects to follow - maintainers can just use ai themselves without needing external contributions.
Understanding (not necessarily reading) always was the real work. AI makes people less productive because it's speeding up the thing that wasn't hard (generating code), while generating additional burden on the thing that was hard (understanding the code).
That's interesting; another project stopped letting users directly open issues: https://news.ycombinator.com/item?id=46460319
"The Ghostty project allows AI-assisted code contributions, which must be properly disclosed in the pull request."
https://github.com/ghostty-org/ghostty/blob/main/CONTRIBUTIN...Mitchell Hashimoto (2025-12-30): "Slop drives me crazy and it feels like 95+% of bug reports, but man, AI code analysis is getting really good. There are users out there reporting bugs that don't know ANYTHING about our stack, but are great AI drivers and producing some high quality issue reports.
This person (linked below) was experiencing Ghostty crashes and took it upon themselves to use AI to write a python script that can decode our crash files, match them up with our dsym files, and analyze the codebase for attempting to find the root cause, and extracted that into an Agent Skill.
They then came into Discord, warned us they don't know Zig at all, don't know macOS dev at all, don't know terminals at all, and that they used AI, but that they thought critically about the issues and believed they were real and asked if we'd accept them. I took a look at one, was impressed, and said send them all.
This fixed 4 real crashing cases that I was able to manually verify and write a fix for from someone who -- on paper -- had no fucking clue what they were talking about. And yet, they drove an AI with expert skill.
I want to call out that in addition to driving AI with expert skill, they navigated the terrain with expert skill as well. They didn't just toss slop up on our repo. They came to Discord as a human, reached out as a human, and talked to other humans about what they've done. They were careful and thoughtful about the process.
People like this give me hope for what is possible. But it really, really depends on high quality people like this. Most today -- to continue the analogy -- are unfortunately driving like a teenager who has only driven toy go-karts. Examples: https://github.com/ghostty-org/ghostty/discussions?discussio... " ( https://x.com/mitchellh/status/2006114026191769924 )
Earlier quoted context omitted.
Understanding (not necessarily reading) always was the real work. AI makes people less productive because it's speeding up the thing that wasn't hard (generating code), while generating additional burden on the thing that was hard (understanding the code).
There are many cases in which I already understand the code before it is written. In these cases AI writing the code is pure gain. I do not need to spend 30 minutes learning how to hold the bazel rule. I do not need to spend 30 minutes to write client boilerplate. List goes on. All broad claims about AI's effects on productivity have counterexamples. It is situational. I think most competent engineers quietly using A…