[tptacek]

It's not just understanding the codebase, it's also stylistic things, like "use this assert library to write tests", or "never write comments", or "use structured logging". It's just as useful --- more so even --- on fresh projects without much code.

[time0ut]

Honestly, everything I have written in markdown files as AI context fodder is stuff that I write down for human contributors anyway. Or at least stuff I want to always write down, but maybe only halfway do. The difference now is it is actually being read, seemingly understood, and often followed!

[clbrmbr]

So true. I find myself doing a lot more documentation these days as it is actually having a direct visible benefit. There’s a bit of a mirage here, but hey it’s getting me to document so shhh.

[naniwaduni]

... most of which would also be valuable information to communicate when onboarding new devs.

[jaggederest]

Yeah I agree. I think the best place for all this lives in CONTRIBUTING.md which is already a standard-ish thing. I've started adding it even to my private projects that only I work on - when I have to come back in 3 or 4 months, I always appreciate it.

[andyferris]

I agree.

My current thought is that (human) contributors should be encouraged to `ln -s CONTRIBUTING.md CLAUDE.local.md` or whatever in their local checkout for their agent of choice, have that .gitignored, and all contributors (human and LLM) will read and write to the same file.

The "new" thing would be putting CONTRIBUTING.md into subfolders as appropriate - which could often be quite useful for humans anyway.

[jaggederest]

Yeah I think having a docs/contributing folder or equivalent, essentially referenced/linked in the CONTRIBUTING.md makes a bunch of sense, but I'd leave that kind of thing more or less up to the project

[ameliaquining]

If there were already a universal convention on where to put that stuff, then probably the agents would have just looked there. But there's not, so it was necessary to invent one.

[naniwaduni]

Reality is just that people neglected onboarding docs until LLM-based coding agents put them in a position to directly benefit from having more knowledge of the codebase explicitly written down.

[Mtinie]

Common sense takes time to sink in.

[nfw2]

Stylistic preferences could usually be inferred by just looking at the code. Perhaps if code is mid-refactor there may be inconsistencies, but ideal ai coding agent could also look through git history