I stopped reading when I realized the article reminds me of my own Claude-generated solutions at work - just an endless maze of special business logic on top of special business logic. You need an LLM to understand it. You need an LLM help write the documentation. You need an LLM to help read the documentation.
My son, Jeffrey, was a very tiny, very sick premature baby, born Feb. 9, 1985, at a gestational age of 25-26 weeks. During the almost two months of his life, he was on a respirator, with several lung diseases, a heart problem, kidney problems, and a brain bleed.
... Jeffrey had holes cut on both sides of his neck, another hole cut in his right chest, an incision from his breastbone around to his backbone, his ribs pried apart, and an extra artery near his heart tied off. This was topped off with another hole cut in his left side for a chest tube. The operation lasted 12 hours. Jeffrey was awake through it all.
The anesthesiologist paralyzed him with Pavulon, a curare drug that left him unable to move, but totally conscious. When I questioned the anesthesiologist ... she said Jeffrey was too sick to tolerate powerful anesthetics. Anyway, she said, it had never been demonstrated to her that premature babies feel pain. She seemed sincerely puzzled as to why I was concerned. It turns out that such care, or lack thereof, is possible because, as a neonatologist explained, babies, unlike adults, don't go into shock no matter how much agony they suffer.
"such care, or lack thereof" is heavily loaded; about the only objectively-sounding statements in the last paragraph are that Jeffrey wasn't able to tolerate anesthetics, and that "babies, unlike adults, don't go into shock", both of which add up to possibility of care where alternative was to leave the child to die.
Similarities between languages is a much more intuitive approach for non-English speakers. This comment just explains an English idiom in terms of English idioms.
Why even keep using zombie Twitter? I used to scroll Twitter a lot but deleted my account back when. Literally any other social network seems more appealing these days, and not by a small margin.
I just had to go check out your site with that comment. Nicely done! Was waiting for the physics simulation to either fully settle or explode, but really neither of those happened.
I've done this. Ask Claude to permutate a prompt and run Claude Code or a subagent to observe effects until success. Claude will iterate on the prompt faster than I could and likely catch more edge cases, too. It's one of those tasks where the end goal is very clear and the agent just needs to iterate on permutations. Arguably this is a perfect match, too, because prompt engineering is really just text generation, so why not have a text generation machine do it.
Similar thoughts here. My gut tells me "if I wanted AI responses I would just ask AI", but in truth LLMs are not like Google Search. LLMs are more like a slot machine where you put your prompt in and out comes a combination of insights that are personalized to the inputs.
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