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:
Quadtrees aren't limited to point data. They can also partition regions of continuous data, like the pixels of an image.。Line官方版本下载对此有专业解读
Features in bullets:，这一点在搜狗输入法2026中也有详细论述
Currently there are 850,000 patients on the waiting list in England requiring planned treatment to their joints – the largest of any speciality.