You can do this in a professional way but still get the point across that they're stealing productivity from others that have to pull up their slack.
If the commits are too big or too dense. Make them break it up, clean up the comments etc. Otherwise they are simply doing a poor job. Not Claude, them.
Can’t have the cake and eat it too.
If they “solve” navier stokes and mathematics, they surely should be able figure such menial tasks out on their own, shouldn’t they?
But it’s the fat part of the bell curve. There’s loads of even worse crap outside corporate code…and at the right end of the bell curve is deeply thought out and the result of long-term maintenance that tends towards as bulletproof as can be possible in this universe, parts of OSes, networking stacks, clocks, and the like.
It’s only because that stuff is so robust and sufficiently general that the rest of the world’s steaming pile of code works at all.
One of the worst things you can do is pull punches when you get "contributions" that are net-negative because they waste everyone's time.
It takes effort to debunk because you have to holistically consider what the problem was and actually find the better solution to prove why it’s lacking.
In other words, to debunk it, you have to do the actual work that wasn’t done the first time.
Some people may argue “so what?”
And to that I would just respond that the fast solution implies nobody probably thought about it, which is always risky and generally leads to very bad outcomes. If for no other reason than there is at least no consensus, which for long-term software evolution is deeply problematic.
This has happened many times since this trend has started, and forcing everyone to step back after a year objectively reveals the murder that has been committed that, believe it or not, is not trivially unwound.
In the wrong hands it’s a debt machine that is already killing companies from the inside.
Also, now people who used to manage the development but not write any code also feel their superpowers to merge LLM slop in humongous amounts. It feels like a ticking time bomb, but I am afraid of calling it out and rain on their parade of 10x productivity (or often AI psychosis). Leaving the team doesn't feel like a good decision because what I hear from many colleagues is much worse. Ah what a time to be alive...
Then respond with that addressed, with a firm but polite explanation that the document has some problems that need to be addressed carefully before we invest time on it.
None of this works if it’s coming from your boss, but it’s very effective at making people think twice before sending you slop.
People only do the workslop thing when they believe the benefits of showing the work outweigh the reputational risks. If they get caught every time they do it and exposed on an email chain, they start doing less.
BUT because it is AI it's not that section that's addressed, it's about 90% of the document that now has changed, and I need to spend another gargantuan effort to review it. It's like by trying to be helpful I actually lose more time.
The AI has made it so that the thinking before writing is mostly gone, and shifted that step to the reviewers.
Now, no matter the amount of preparation work, those last rounds can completely rewrite something with no hope of review. No iterative improvement. No ratcheting towards a known quality. Just a bunch of cargo cult review followed by YOLO-style, vibe-everything absurdity.
The ratio of verification capacity to generation capacity, V/G, has broken with LLMs. It’s not simply an issue of more generation or less review.
The impression seems to be that individuals are more productive, but that productivity is someone else’s review burden. So the team/firm as a whole is not better off.
The cheap generation of content does mean that reviewer capacity is now a limited resource.
Unless your firm is aware and is measuring time spent on reviewing slop, there is no incentive or structure to ensure that time is respected and valued.
This is a management and awareness problem since the typical response is “use a bot to review it.”
Not to say these proofs are slop, even if the LLM-generated work is of good quality, what happens when no one knows how it works anymore ? Even if you ask the LLM to explain, which it does quite badly, the time to understand the explanation is incompressible.
So in the end, productivity will probably reach a ceiling that we can estimate as the product of humans, their cognitive capacity and their time. And that ceiling may be lower than what AI companies valuation expect, regardless of the compute and they can pump out and the RSI level they can reach.
Presentation layer code doesn't control how the machine and kernel prioritize anything; so "proof" Ruby code is doing the right thing is proving the machine does the right thing from the factory.
As for abstract theory and math, well shit since any English and any math are...mathematically possible...well shit I guess we gonna have to live in the real world and not inside a rhetorical bubble; religious or atheist philosophy... cause they are not evenly distributed frameworks as religion clearly shows; so why live by the syntax and semantics of some mathematical rando who taught a stats class years ago?
Same shit as living by religious allegory
Goodhart's Law has come for 1900s means of scientific inquiry; every technology follows an S-curve and the same for every social society. In the US we aren't all defaulting to calling ourselves British or speaking Latin.
Physics will always be there. The stupid glyphs and bird song we came up with to communicate about it isn't physics. It's just a human language system.
I have to ask. Did you even skim the article you’re commenting under?