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More review is not better review

Quelle: Kagi Small Web ·

Half the pull requests in our monolith at Buser were reaching main without a human reading them. I found that out the week I decided to tighten code review, and I learned more from what went wrong after. This is what I turned on, why I turned most of it off three days later, and how review works today, with models reading every PR and a human still signing it. Main had no reader The monolith gets around 263 pull requests a month. Before September 29, 48% of them had a human approval. The rest went in on green CI and good faith.

Was ist More review is not better review?

More review is not better review is a website discovery curated from Kagi Small Web. Half the pull requests in our monolith at Buser were reaching main without a human reading them. I found that out the week I decided to tighten code review, and I learned more from

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Curated from Kagi Small Web by the OnSuggest team to surface the most interesting and serendipitous content on the web.

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Marked Down for Being Right: Claude Fable 5.2 vs Opus 5.5 on Real Code

Claude Fable 5.2 costs twice as much per token as Opus 5.5. On 52 real tasks from a production monorepo, my tests scored it level or behind. Then I read the failures. Fable had fixed a bug the original human fix shipped with, and my tests marked it wrong. Plus: Anthropic's own system card shows the safety fallback hands attacked sessions to a weaker model.

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My problem with dates on the web

You might have noticed that there are absolutely no dates on this website. And that is because I have a real problem with them. I think this started with Youtube, I've always felt that since there is so much content constantly appearing, I shouldn't look at older videos. And this might be a valid point, because if I had to catch up with every video of every channel I like, I would never find time to watch the newer ones. But the problem is that I set my expiration date really early. Once a video is like a month old, it becomes pretty much unwatchable to me (Unless it's something I REALLY want

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How are you fighting back against skill atrophy caused by AI at work?

submitted by FukOui to programming 94 points | 39 comments I currently work at an “AI First” 🤢 fintech company, and we’re mandated to program agentically. I was fortunate enough to start working before the AI hype, but the environment right now is daunting. There’s too much unmaintainable code slop and throw away scripts committed that I can’t keep track anymore. Each PR has so much diffs that it feels like someone had diarrhea and shat all over. I try to manually review the code, but it feels like best effort at most. Like I may only understand 70% of the thing that I’m reviewing. What ends

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