71–80 of 268 posts
This “short leash” seems like more of a crutch to me, and a sign of not giving the AI enough detail on the problem to begin with, or not reviewing and iterating on its output. Hand-holding great models like Fable through implementation is a waste of time, and a waste of Fable. You can have increasingly nuanced discussions with stronger models, and they write a lot better code than they used to. The process of discuss…
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It's not YOLO, but auto mode in Claude Code does reduce the amount you have to approve significantly. And frankly, without it, progress is constantly interrupted by permission requests. It's all I use. Don't even really switch into Plan mode manually anymore.
I find it still asks too many questions. Unless I'm not triggering it as often as I think I am.
I thought this was how everyone who can actually code uses AI for anything that’s actually important. Am I wrong? Are you guys just YOLOing everything these days?
yep. got a laptop i dont care about that claude can play with in wsl. its the fun of funemployment. starting work again is gonna be an interesting change though. its currently straightforward letting it run, then giving a broad critique and setting up new introspection/closed loop feedback for an hour over a beer, then letting it run wild again after
LLMs are still next token predictors, just because you can give it more vague instructions and it still finds the right steps to follow, it doesn't mean it's intelligent. It means you're speaking the same language as the harness they trained your model on. And that has a limit. If you are stuck at PoC level or simple apps, you have no idea how limited the current models still are. There you really need to break tasks…
AI is a junior to mid-level engineer. If you treat it as such, you get the best of both vibe coding and rigorous engineering without all this paranoia. Since the very beginning I've ran Claude from an isolated VM on yolo mode. This is just like giving an engineer their own laptop. Claude works on a feature up to a PR worthy point. I review the diff, just like I would with another engineer, and massage it to get it in…
This is not true anymore and you aren't helping yourself by deluding yourself about it.
It's something, nobody quite knows what, but it's NOT a junior or mid level engineer, it's a nuclear powered staff engineer living in a cardboard box who lacks domain context and wakes up with no memories ever 5 hours.
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Do you not say your words one-at-a-time like everyone else? Otherwise I can’t see how my comment is “wrong”
Even if you could understand human cognition to the level required to say, confidently, that it’s done one word at a time, it’s likely not! Natural language is not a prerequisite for human intelligence, as evidenced by the fact that we went from primates to commenting on HN. Natural language is, however, a prerequisite for the existence of LLMs. It’s more similar to methods for storing and retrieving information, lik…
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This is wrong. Human thinking and speech isn't autoregressive like LLM inference.
while the how is different, the what has many parallels. E.g. both the brain and LLMs appear to learn distributions of representations, they both develop a hierarchy of those representations, both have early layers that process simple features, with later ones processing more abstract concepts, both predict missing information...
I feel like OP is still in the year 2025. > The AI will have gone off the rails multiple times and you will only notice it later when you actually try to use the software. Except that said AI can now themselves use your software and find and fix bugs themselves, not to mention drive new features. >Your agent might go “off the rails” and start doing something you don’t want it to do This happens but far less often tha…
I can see this being true for non-critical software like entertainment, media, and so on.
Definitely not true for systems where security stakes are high. Like banking, aviation, defense, etc.. AI will surely contribute but not independent of human engineering understanding.