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:
OUT = "items.csv"
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"I think of my donor and her family every day and pray they find some peace in knowing their daughter gave me the biggest gift: the gift of life," Bell said.
三星在先进节点中积极应用FOPLP技术，其用于可穿戴设备的Exynos W920处理器结合了5纳米EUV工艺与FOPLP方案；谷歌已在Tensor G4芯片中采用三星的FOPLP技术；AMD、英伟达等公司正与台积电及OSAT供应商合作，计划将FOPLP整合至其下一代芯片产品。中国大陆厂商也在积极布局FOPLP领域，华润微电子、成都奕斯伟、中科四合等已进入该领域，部分具备量产能力。
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Source: Computational Materials Science, Volume 267
兆威机电预计于2026年3月9日在港交所主板上市。，更多细节参见im钱包官方下载