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:
精准打造农民与产业利益联结机制——
。关于这个话题，旺商聊官方下载提供了深入分析
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硬件在此扮演的角色，是需求触发器与高维数据采集器，它将线下碎片化的行为、意图乃至情绪，实时转化为可被模型理解、并可被商业生态即刻服务的结构化数据流。
演示应用 — 你已在上方看到过它的截图。我创建了一个包含三个函数的演示：change_background_color（更改背景颜色）、change_app_title（更改标题）和show_alert（显示警告对话框）。