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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:
03 “世界模型”是终极进化方向？VR普及后，AI模型必将进军3D场景通过分析Seedance 2.0所展现出的优势与不足，我们已经可以在一定程度上勾勒出AI视频模型下一阶段的演进蓝图。未来的竞争，或将不再仅仅是生成更清晰、更逼真的画面，而是构建一个更懂物理、更懂叙事的“世界模型”。
A report outlining the proposed purchase of homes on the street states that an expectation climate change will make flooding "a more frequent occurrence" should be considered.