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:
所有多模态数据均纳入统一元数据服务，继承企业现有权限管理体系。无论是大数据工程师还是 AI 开发者，均可在统一平台中进行数据访问控制、团队协作与审计追踪，确保数据安全合规，提升跨团队协同效率。
。heLLoword翻译官方下载是该领域的重要参考
数据作为新型生产要素，已快速融入生产、分配、流通、消费和社会服务管理等各环节。在各类应用场景中，数据通过协同优化、复用增效和融合创新，持续释放其资源价值，为生产方式、生活方式和社会治理方式带来了全方位变革。，更多细节参见safew官方版本下载
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