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270 points imasl42 | 1 comments | | HN request time: 0s | source
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strix_varius ◴[] No.45659881[source]
To me, the most salient point was this:

> Code reviewing coworkers are rapidly losing their minds as they come to the crushing realization that they are now the first layer of quality control instead of one of the last. Asked to review; forced to pick apart. Calling out freshly added functions that are never called, hallucinated library additions, and obvious runtime or compilation errors. All while the author—who clearly only skimmed their “own” code—is taking no responsibility, going “whoopsie, Claude wrote that. Silly AI, ha-ha.”

LLMs have made Brandolini's law ("The amount of energy needed to refute bullshit is an order of magnitude larger than to produce it") perhaps understated. When an inexperienced or just inexpert developer can generate thousands of lines of code in minutes, the responsibility for keeping a system correct & sane gets offloaded to the reviewers who still know how to reason with human intelligence.

As a litmus test, look at a PR's added/removed LoC delta. LLM-written ones are almost entirely additive, whereas good senior engineers often remove as much code as they add.

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ge96 ◴[] No.45661716[source]
I'm working on the second project handed to me that was vibe-coded. What annoys me assuming it runs is the high number of READMEs which I'm not even sure which one to use/if applicable.

They are usually verbose/include things like "how to run a virtual env for python"

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1. cutemonster ◴[] No.45666482[source]
Lots of READMEs? Might make total sense, if lines of code added, is a metrics the managers look at.

Can't be any compilation errors in a README, no need to worry about bugs. And if they're long and boring enough, no one will ever read them.

AI generated READMEs = free metrics bonus points, for the performance reviews :-)