721–730 of 1001 posts
You still need to read this tedious code to verify that it actually does what you want it to do. Given this, I'd much rather prefer to write the tedious code myself than having to make sense of someone else's tedious code.
Who are these friends? Are they in the room with us right now? Look, maybe my experience is atypical but I’m an AI skeptic and I know plenty of others. I’ve never heard people claim that LLMs are a fad or going to go away. I’ve seen lots of people: * think that conflating LLMs and “AI” produces a lot of poorly reasoned arguments * doubt the economic narratives being built around LLM technology * think the current rat…
I think this article is pretty spot on — it articulates something I’ve come to appreciate about LLM-assisted coding over the past few months. I started out very sceptical. When Claude Code landed, I got completely seduced — borderline addicted, slot machine-style — by what initially felt like a superpower. Then I actually read the code. It was shockingly bad. I swung back hard to my earlier scepticism, probably even…
For what it's worth: I'm not dismissive of the idea that these things could be ruinous for the interests of the profession. I don't automatically assume that making applications drastically easier to produce is just going to make way for more opportunities. I just don't think the interest of the profession control. The travel agents had interests too!
One thing that I find truly amazing is just the simple fact that you can now be fuzzy with the input you give a computer, and get something meaningful in return. Like, as someone who grew up learning to code in the 90s it always seemed like science fiction that we'd get to a point where you could give a computer some vague human level instructions and get it more or less do what you want.
"Kids today don’t just use agents; they use asynchronous agents. They wake up, free-associate 13 different things for their LLMs to work on, make coffee, fill out a TPS report, drive to the Mars Cheese Castle, and then check their notifications. They’ve got 13 PRs to review. Three get tossed and re-prompted. Five of them get the same feedback a junior dev gets. And five get merged." I would jump off a bridge before I…
> LLMs can write a large fraction of all the tedious code you’ll ever need to write. And most code on most projects is tedious. You still need to read this tedious code to verify that it actually does what you want it to do. Given this, I'd much rather prefer to write the tedious code myself than having to make sense of someone else's tedious code.
I gave chatgpt (the free desktop web version) my Ruby solution to one of my favorite adventofcode challenges and asked it to write in in Rust. I've no experience in Rust except reading the few first chapters of the book but with the help of the compiler I managed to fix it and it gave the right responses 100x faster than Ruby did. So chatgpt did a great job keeping the logic intact.
I would have done the same thing if LLMs didn't exist, write it in Ruby first and then in Rust. The flexibility and expressiveness of Ruby allows to actually find a working solution. Experienced Rustaceans would do it directly in Rust, but writing in Ruby should be easier and an LLM can transform it.
I'm mostly skeptical about AI capabilities but I also think it will never be a profitable business. Let's not forget AI companies need to recoup a trillion dollars (so far) just to break even [1]. VCs are already doubting if the billions invested into data centers are going to generate a profit [1 and 2]. AI companies will need to generate profits at some point. Would people still be optimistic about Claude etc if th…