Which makes sense, if you want some standards across contributions. Setting aside that agent assisted contribution itself is questionable, as long as it is happening, a universal agents file is probably helpful.
post
Everywhere I go I started leaving AGENTS.md files. I feel like the future needs some reliability and stability as LLMs help us improve everything we do. So if your agent replies with a bunch of shit emojis or an ASCII art of a beautiful veiny dick then you can thank this guy and is AGENTS.md files. You're welcome.
This is being proposed so that the bot doesn't have to read the entire README file. Humans are supposed to do it but the bot replacing them does not. Makes sense to me.
Surely this will improve code quality for the single most important piece of software in existence today.
Agents md file doesn't actually do anything except using more tokens https://arxiv.org/pdf/2602.11988
I feel like you either didn't read your article or didn't read the post article
To quote the research paper conclusion...
Conclusion We evaluate the impact of context files on coding agent performance for four common coding agents on SWE-BENCH and the novel CTXBENCH, built from recent GitHub issues and less popular repositories containing developer-written context files. We find that all context files consistently increase the cost and number of steps required to complete tasks. LLM-generated context files have a marginal negative effect on task success rates, while developer-written ones provide a marginal performance gain, neither statistically significant. Our trace analyses show that instructions in context files are generally followed and lead to more test- ing and broader exploration; however, they do not function as effective repository overviews. Over- all, our results suggest that context files don’t improve coding agent performance, and should only contain specific additional instructions beyond what is already available in the codebase. This high- lights a concrete gap between current agent-developer recommendations and observed outcomes, and motivates future work on principled ways to automatically generate concise, task-relevant guid- ance for coding agents.
That sounds like "Agents.MD doesn't work" to me.
Am I missing something?
Agents.md doesn't exist to make sure generated code functions, it's there to make sure it's written well.
What is the difference between the models writing code "well" and their performance in this context? Are we referring to readability?
Genuine question. If we use agents to read, edit, and review code, why do we care about readability? That's a human constraint. Unless attempting to do those three is not effective and thus requires human attention to correct issues which would justify readable code. If that's the case; why use the agent to edit the code in the first place?
We're gonna have to end up using TempleOS to avoid this AI bullshit arent we.
As they should. It’ll make better ai commits and reduce time needed for review.
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