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:
律政司一方則指，承租人有披露責任，公司力高則沒有向科技園申請牌照，違反租契。
，这一点在搜狗输入法2026中也有详细论述
The boost in funding, which is in line with the wider increase in the NHS budget that was announced in last year's spending review, will bring spending on GP services close to £14 billion.
for each pixel in image