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Comment by scruple | Hacker News Reader

We have a tool at work that was entirely spun out of a prototype that itself was entirely driven by a single guy with an unlimited Claude budget. I only touch it on the edges, where I need to integrate it every so slightly into one of my systems. It's a crucial piece of software for the team, though. I've looked over the source, the thing that strikes me the most is the verbosity. Human software engineers would've been much more terse, so the thing has a fucking lot of code that's doing very little. They're trying to deal with that now, while also driving feature requests forward, and from the distance it looks like an unmanageable shit show.

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It really depends on the codebase. I remember ~10 years ago trying to learn about some of the big codebases that existed and what struke me was the verbosity. I don't remember if it was a PHP framework or a big JS library, but it was like 20+ lines of comment/explanation for each line of code. I was trying to follow the code flow and it was basically impossible, you could fit like 2-5 lines of actual code per screen.

In all fairness, LLMs try to write the code with all the safeguards imaginable, all exceptions handled and following the SDK/language/framework guidelines.

So a lot of this verbosity is good, even if we aren't used to it, because almost no one writes their code so exhaustively.

I sometimes wonder if the verbosity gives the LLM more “margin for error” when generating text that passes requirements.

10 lines of checks per line of actual execution. Anxiety for their stable pay

Of course. Those 10 lines of extra code is that much more tokens every time your agents read and use that section of code. The more blot in the project to more tokens your agents will burn.

Reminds me of a subcontracting agency

It's simpler. The verbosity, the line of code count, is what has gotten people excited about it. So everyone optimizes for verbosity.

This does not strike me as true at all. Nobody's crowing about the verbosity of their AI-generated code. Rather, it seems to me they're impressed by the functionality or capabilities relative to time/cost.

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