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:
Waits, meanwhile, is dressed in battered striped pants, a hoodie, and has a head of hair that's not seen a brush or a bit of product in ages. Their dad's home is cluttered with books and laundry, as if in the wake of their mother's death years before he can barely care for himself. However, there are hints that their father (who goes unnamed) has a life outside of their understanding of him, like the glistening Rolex on his wrist.
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"I noticed that the brick was a very pink-cast brick, and it had a little bit of a charcoal overlay on it. It was a modular eight-inch brick and it was square-edged," he says. "When I saw that, I knew exactly what the brick was," he adds.，详情可参考一键获取谷歌浏览器下载
看人力资源要素，16至59岁人口85136万人，拥有全球规模最宏大和门类最齐全的人才资源，促进劳动力和人才有序流动，将凝聚支撑高水平科技自立自强的人才发展合力。。关于这个话题，搜狗输入法2026提供了深入分析
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"