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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:，更多细节参见im钱包官方下载
，更多细节参见搜狗输入法2026
高价水果的“身价”有其成因。要么是育种、培育技术限制了种植面积、亩产量；要么是依赖进口，附带更高的物流、关税成本。本身具有“稀缺性”，加之悦己消费、情绪消费渐成风尚，一些消费者不仅为产品本身付费，也为新奇体验和社交分享买单，造成了价格上涨。，更多细节参见快连下载安装
Full Parameter Support: Because the final shortcut refinement (Step 3 above) uses A* on detailed maps within each cluster, all your specified parameters are naturally incorporated:
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