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:
而其背后的智元机器人，在推动机器人产品走向更广泛商业场景方面，也确实在进行持续的技术与应用探索。
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他又站了起来，似乎试图重新瞄准，但再次中枪倒地。
是的。小鹏在2月刚刚启动了L4级别道路测试。这款车本地算力3000TOPS，超过了刚刚宣发的理想新L9的2560TOPS。
Of these households, 85,730 include children.