It's architecture dependent. A fairly functional modular monolith with good documentation can be accessible to LLMs at the million line scale, but a coupled monolith or poorly instrumented microservices can drive agents into the ground at 100k.

▲

yuedongze 18 hours ago | parent [-]

I think it's definitely an interesting subject for Verification Engineering. the easier to task AI to do work more precisely, the easier we can check their work.

▲

CuriouslyC 18 hours ago | parent [-]

Yup. Codebase structure for agents is a rabbit hole I've spent a lot of time going down. The interesting thing is that it's mostly the same structure that humans tend to prefer, with a few tweaks: agents like smaller files/functions (more precise reads/edits), strongly typed functional programming, doc-comments with examples and hyperlinks to additional context, smaller directories with semantic subgroups, long/distinct variable names, etc.

	▲	lukan 16 hours ago \| parent [-]
		Aren't those all things, humans also tend to prefer to read? I like to read descriptive variable names, I just don't like to write them all the time.