What people actually settled on was narrower than the headline fight. Very few bought the strong version of the post’s claim. The main high-signal objection was that the analysis cannot establish “Claude didn’t make things worse” because it only has two Claude-era releases, those releases are unusually confounded by a flood of security work, and bugs-per-commit is a weak stand-in for user pain. A severe regression in a core backup workflow matters more than a tidy average. Several commenters also noted that recent releases have had less time to accumulate reports, and that the surge in commit volume itself is part of the story, not something a normalized metric should wash away.
At the same time, the thread pushed back hard on a lot of sloppy accusations. The most-cited example of “Claude wrote bad code” turned out, by the maintainer’s own explanation, to be a human decision that happened to carry a Claude co-author tag because Claude touched the commit during cleanup. That did not erase the regressions, but it did undercut the confident claim that a visible AI tag cleanly identifies the root cause of a bug. A more convincing frame emerged: AI likely changed rsync indirectly by amplifying incoming security reports, which forced more hardening, more testing work, and faster code churn in a mature C codebase. More churn under time pressure predictably raises regression risk whether or not an
LLM typed the diff.
The strongest emotional consensus was not pro-AI so much as anti-mob. People were disgusted by the harassment directed at a long-time maintainer and by the ease with which a few screenshots and anecdotes became a morality play about “vibe coded slop.” But that sympathy did not translate into blanket approval of AI-heavy development. Many still argued that trust in critical software depends on maintainers carrying the system’s mental model themselves, writing focused changes with clear intent, and communicating tradeoffs when security fixes knowingly break edge-case workflows. The durable takeaway was that AI attribution alone is weak evidence, statistical absolution here is overstated, and the real risk sits in process breakdowns around review, testing, release management, and maintainer bandwidth.