竹炭的加入，不仅补齐了团队的技术短板，也给缺乏互联网工作经验的波波带来了规范化的工作方式，从部门协作到需求文档，竹炭手把手地教，帮她搭建起互联网公司工作流程。
The very first thing I did was create a AGENTS.md for Rust by telling Opus 4.5 to port over the Python rules to Rust semantic equivalents. This worked well enough and had the standard Rust idioms: no .clone() to handle lifetimes poorly, no unnecessary .unwrap(), no unsafe code, etc. Although I am not a Rust expert and cannot speak that the agent-generated code is idiomatic Rust, none of the Rust code demoed in this blog post has traces of bad Rust code smell. Most importantly, the agent is instructed to call clippy after each major change, which is Rust’s famous linter that helps keep the code clean, and Opus is good about implementing suggestions from its warnings. My up-to-date Rust AGENTS.md is available here.
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a16z基础设施团队的合伙人Jennifer Li在Big Ideas报告里说了一句让很多人印象深刻的话：企业AI现在最大的瓶颈，不是模型不够聪明，而是自己的数据太乱。她用了一个词——"数据熵"。每家公司都淹没在PDF、截图、邮件、操作日志里，80%的企业知识以非结构化的形式散落在各个角落，从来没有被系统整理过。你买了最好的模型，搭了最贵的系统，但喂进去的是一团乱麻，出来的自然是错误和幻觉。
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