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dfoxfranke
ripgrep-3494-analysis
Python2026–2026
dfoxfranke / ripgrep-3494-analysis

ripgrep-3494-analysis

Analysis of one crazy segfault in ripgrep

3Distinct people
3Mentions
0Explicit recommenders
20GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Analysis of one crazy segfault in ripgrep

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour3 dated mentions

Observed mentions: 2026-08-01 12:44:20 UTC to 2026-08-01 17:05:50 UTC.

012026-08-01 12:00:00 UTC to 2026-08-01 13:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 1, 12:002026-08-01 13:00:00 UTC to 2026-08-01 14:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-01 14:00:00 UTC to 2026-08-01 15:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 1, 14:002026-08-01 15:00:00 UTC to 2026-08-01 16:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-01 16:00:00 UTC to 2026-08-01 17:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-01 17:00:00 UTC to 2026-08-01 18:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 1, 17:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 1, 12:002026-08-01 12:00:00 UTC2026-08-01 13:00:00 UTC101
Aug 1, 13:002026-08-01 13:00:00 UTC2026-08-01 14:00:00 UTC000
Aug 1, 14:002026-08-01 14:00:00 UTC2026-08-01 15:00:00 UTC101
Aug 1, 15:002026-08-01 15:00:00 UTC2026-08-01 16:00:00 UTC000
Aug 1, 16:002026-08-01 16:00:00 UTC2026-08-01 17:00:00 UTC000
Aug 1, 17:002026-08-01 17:00:00 UTC2026-08-01 18:00:00 UTC101

What Hacker News says

3 sources
I'm reasonably confident that the author has a reproduction case on their hands. That's easy to directly verify. I'm way less confident in that long and rambling analysis. As fwlr observes, it's not clear that this has been reproduced off the original machine: https://news.ycombinator.com/item?id=49134357 If it is the case that the original machine has an intermittent hardware fault, that analysis is exactly what I'd expect of an current AI. Voluminous and confidently wrong. Also interesting that the AI itself doesn't note this... having been biased by the conversation to consider kernel bugs, in the "cross-machine data" [1] it blames the kernel and doesn't appear to consider alternate explanations. It doesn't get mentioned much around here but one major issue with AIs today is that they fall into tunnel vision very easily and often need
Read the rest
some help getting out of it. There's a structural reason for tunnel vision built into their context limits, and there's also situations like this, where if you bias them in a certain direction they can get monomaniacally stuck on it. You can also see it where they do things like try to do something on your system like view a certain file, then if for some reason they fail due to permission issues, if you don't stop them they'll go absolutely insane trying different ways to access the file, rather than just stopping and saying "Hey, I need help". Even if you prompt them directly to do that, it only helps, it doesn't fix the issue. I suspect the RHLF training they get to be better coding agents reinforces this behavior because in the coding quality tests they're rewarded for one-shotting all the various benchmarks, where that "bull in a china shop" approach works better than giving up. But I'd actually like them to give up a bit more often. I've had the same problem with some particularly go-getting junior devs, too... I appreciate the ambition and I look forward to harnessing it in other situations but I'd rather you didn't spend five hours to create a terrible work around to something I could have gotten you in two minutes. For the junior dev, it's OK, they take the feedback and adjust... the AIs never adjust. [1]: https://github.com/dfoxfranke/ripgrep-3494-analysis#6-cross-...
In RipGrep musl binaries occasionally segfault during very-large searches

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