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:
char *s=alloc(n);，推荐阅读WPS下载最新地址获取更多信息
。服务器推荐是该领域的重要参考
此前，Anthropic 宣布 Claude Code 能自动梳理 COBOL 依赖、生成文档并识别风险，引发市场对 IBM 主机业务受冲击的担忧，IBM 股价在当地时间本周一录得近 26 年最大单日跌幅，市值蒸发约 310 亿美元。
美家人力仲介公司總經理許家畯解釋，由於法令程序複雜，雇主多半委託仲介規劃名額。當雇主解除聘僱關係後，仲介便掌握是否「承接在台移工」或「重新引進海外移工」的權力。，详情可参考Line官方版本下载