Earlier quoted context omitted.
Even AI doesn’t RTFM
I can see the future. In a few years, HN will consist entirely of: 1) Bots posting “Show HN” of things they’ve vibecoded 2) Bots replying to those posts, 3) Bots asking whether the bots in #2 even read TFA, and finally 4) Bots posting the HN guideline where it says you shouldn’t ask people whether they have read TFA. …And amid the smouldering ruins of civilization, the last human, dang, will be there, posting links t…
AGENTS.md outperforms skills in our agent evals
171–180 of 212 posts
Re: AGENTS.md outperforms skills in our agent evals
#172Earlier quoted context omitted.
I made an account years ago, never posted, and decided I want to be more active in the community. Green accounts probably bc I sent my post to some friends and users directly when I made it. Is that illegal on HN? I legit don't know how things work here. I was excited over my launch post. Anyways, not a fucking bot, my company is real, the commenters on my post are real and if it's a crime for me to rapid fire post a…
When was the last time you passed a Voight-Kampff test, friend?
Re: AGENTS.md outperforms skills in our agent evals
#173Re: AGENTS.md outperforms skills in our agent evals
#174Over the last week I went with a bigger dig on using agent mode et work, and my experiment align with this observation. The first thing that surprising to me is how much the default tuning are leaned toward laudative stances, the user is always absolutely right, what was done is solving everything expected. But actually no, not a single actual check was done, a tone of code was produced but the goal is not at all ach…
And I have been trying to improve the framework and abstractions/types to reduce the lines of code required for LLMs to create features in my web app.
Did the LLM really needed to spit 1k lines for this feature? Could I create abstractions to make it feasible in under 300 lines?
Of course there's cost and diminishing returns to abstractions so there are tradeoffs.
Re: AGENTS.md outperforms skills in our agent evals
#175Re: AGENTS.md outperforms skills in our agent evals
#176Earlier quoted context omitted.
Even AI doesn’t RTFM
I can see the future. In a few years, HN will consist entirely of: 1) Bots posting “Show HN” of things they’ve vibecoded 2) Bots replying to those posts, 3) Bots asking whether the bots in #2 even read TFA, and finally 4) Bots posting the HN guideline where it says you shouldn’t ask people whether they have read TFA. …And amid the smouldering ruins of civilization, the last human, dang, will be there, posting links t…
Re: AGENTS.md outperforms skills in our agent evals
#177I need to evaluate how do different project scaffolding impacts the results of Claude Code/Opencode (either with Anthropic models or third party) for agentic purpose.
But I am unsure on how should I be testing and it's not very clear how did Vercel proceeded here.
Re: AGENTS.md outperforms skills in our agent evals
#178I'm not sure if this is widely known but you can do a lot better even than AGENTS.md. Create a folder called .context and symlink anything in there that is relevant to the project. For example READMEs and important docs from dependencies you're using. Then configure your tool to always read .context into context, just like it does for AGENTS.md. This ensures the LLM has all the information it needs right in context f…
What's actually useful is to put the source code of your dependencies in the project.
I have a `_vendor` dir at the root, and inside it I put multiple git subtrees for the major dependencies and download the source code for the tag you're using.
That way the LLM has access to the source code and the tests, which is way more valuable than docs because the LLM can figure out how stuff works exactly by digging into it.
Re: AGENTS.md outperforms skills in our agent evals
#179Earlier quoted context omitted.
Solid intuition. Testing this on antigravity is a chore because I'm not sure if I have to kill the background agent to force a refresh of the GEMINI.md file so I just did it anyway. +------------------+------------------------------------------------------+ | Success/Attempts | Instructions | +------------------+------------------------------------------------------+ | 0/3 | Follow the instructions in AGENTS.md. | +-…
That's really interesting. I ran this scenario through GPT-5.1 and the reasoning it gave made sense, which essentially boils down to: in tools like Claude Code, Gemini Codex, and other “agentic coding” modes, the model isn’t just generating text, it’s running a planner , and the first-person form conforms to the expectation of a step in a plan , where the other modes are more ambiguous.