I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
console::log(“hello, world”);
。WPS下载最新地址对此有专业解读
what drives my workflow is my editor. I start in Emacs, and then pop
The ONS noted that Neet figures are volatile because of a smaller population compared to figures like unemployment.