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:
春节长假已经结束，对于家住四线城市农村的阿武（化名）来说，这个春节除了比以往的春节假期长之外，另一大不同就是，村子里停着的电车更多了。，这一点在搜狗输入法2026中也有详细论述
。业内人士推荐safew官方下载作为进阶阅读
对属于第一款规定的调解范围的治安案件，公安机关作出处理决定前，当事人自行和解或者经人民调解委员会调解达成协议并履行，书面申请经公安机关认可的，不予处罚。。搜狗输入法2026对此有专业解读
头部稳健增长、腰部强势扩张，总量却不增反降——这一矛盾现象背后，是行业洗牌加速、存量博弈深化的真实写照。数字背后，酒店集团们必须读懂这场结构性分化传递的深层信号，以及隐藏在数量之下的海量市场信息。
testSort(selectionSort, "Selection", arr, N);