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 政协委员怎么说？全国政协委员、飞腾信息技术有限公司副总经理郭御风：国产芯片加速从“可用”迈向“好用”郭御风认为，落实“十五五”规划部署，核心是把国家战略转化为可落地的产业行动，聚焦于如何加快推动人工智能产业从“算力堆砌”迈向“商业闭环”，以及工业控制系统“安全准入”与“智能升级”协同推进两大主线。在人工智能领域，我国算力基建实现跨越式发展，但“重建设、轻应用”问题突出，不少智算中心算力利用率不足30%，技术应用仍停留在“点状创新”，难以形成规模化商业价值。。业内人士推荐PDF资料作为进阶阅读
Total added mass: ~2.43 × 10^-15 kg, or about 2.43 picograms (2.43 × 10^-12 grams), or 2,430 femtograms.。电影是该领域的重要参考
merge(state: [peer: string, timestamp: number, value: T]) {