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Comments (46)

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  jdlshore
  Carson’s experience matches mine: AI is good at analysis and boilerplate, but not good at the kind of critical thinking necessary for good designs. If it were human, I would say that it jumps to solutions to quickly, rather than stepping back to consider the big picture and how everything should fit together to make a cohesive whole.It’s not human, of course, and I think this problem actually relates to the fact that LLMs don’t have a world model. They don’t study and think through a design in the way that humans do. They don’t form a mental model of how everything fits together and how that design can be tweaked to most elegantly support a change.I suspect that this is a fundamental limitation of LLMs, and that design will remain a weak point until some sort of bespoke design AI is bolted onto the side. In the meantime, we’ve got a lot of people producing a lot of code very quickly, and I think the debt in that code is going to be a millstone around our necks for a long time to come.
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  recursivedoubts
  hello all, this is an article I wrote up on my interaction with an agent, Claude, in fixing a bug in the hyperscript parserit was a rather mundane bug, but i thought the interaction was interesting and worth analyzing to show where AI is very strong and where it is not as strong
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  wiremine
  It's a good write up, but it's lacking some details, the most important one is: which Claude model was used?The second issue is: what was tooling and the prompt approach?(To be clear, I have no problem with the premise of the write up. But without some details like this, it's sort of like saying "I had a bad board on my deck, and my tape measure wasn't able to help me remove the nails. What a bad tape measure."
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  thorum
  Interesting read! Creating tests is highlighted as something Claude did well, but it strikes me that all the weaker rejected solutions could have been avoided if it were really good at designing intelligent tests for itself. For example, the first solution “was very specific to the reported bug and wouldn’t have fixed the general case” and the third suggestion “prevented the perfectly valid use of as conversion expressions in go commands as well”. I imagine both of these cases could have been noticed and avoided by the agent if it had planned out adequate tests ahead of time.
• deimos_28
  I believe critical thinking, having a stance, an ethos, is the one thing LLMs can structurally never be good at.Shameless plug: https://open.substack.com/pub/deimos28/p/the-friction-collap...
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  varun_ch
  maybe slightly unrelated but the new htmx homepage (https://four.htmx.org/) feels a little ironic, seemingly written with tailwindcss and a full JS ecosystem Astro build system. It also has the ‘vibey’ ‘hypey’ landing page design that’s hard to describe but you’ll find on any web framework, rather than dropping you to docs like the old site.Compared to the original simple HTML site it’s really surprising to see from the grugbrain.dev author!
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  waffletower
  I disagree with the trope -- (AI effects) "the slow dulling of our intellects". I am old enough to remember my career change, being a developer in the Apple ecosystem, confident with Objective-C and native system libraries in iOS and MacOS. I changed direction using a very different software stack in cloud services as a data engineer with deep utilization of Clojure. I have personal projects that I occasionally would return to in the former world -- often a decade or more later. I saw what I forgot immediately; but soon after, with engagement, I saw how quickly I was able to remember. Extended use of AI for me has exactly this footprint. Even "use it or lose it" is wrong -- "use it when you need to" is honestly more like it -- the brain is plastic. Some AI fears are warranted, this isn't one of them.
• zuzululu
  has anybody successfully shipped anything with htmx and llm ?i tried it before with sonnet and the results weren't very goodwent back to react
• effnorwood
  read this to mean the construction material. was wrong.
• z0ltan
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• Reuben_Santoso
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• Ozzie-D
  [flagged]
• nsonha
  AI makes the case for htmx, we don't have to think about the spaghetti code, AI does it for us /s
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  smokefoot
  The author admits that the logic of the language and the design of the parser are idiosyncratic. Even the solution the author likes is an extension of an existing hacky trap door. He could be more open-minded about the solutions the AI proposed and in fact, I think AI could potentially rearchitect this in a more structured, sustainable, and legible way.Many developer criticism of AI coders could be easily directed at 95%+ of human developers. Much coding is monkey see, monkey do and keep trying until it does the things we want it to do. AI can certainly do that cheaper and faster and really this is why automated testing became such an important software discipline with or without AI.