这些技术将高成本的多语言客服能力，变成了可一键调用的标准化服务，显著地降低了中小商户接待全球客人的门槛。反映在数据上，2025年，有近7万家国内商家首次通过携程海外平台获得入境游订单，其中酒店超过6.3万家，技术普惠的力量由此可见一斑。
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:
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This structure fit neatly into what we needed for the offlining work. A new serverless repo was created for generating the Native AOT DLL files. The repo contains a core project that depends on the pre-existing library projects allowing for code reuse. Individual platform projects were created for handling all the custom build and linking logic required for Windows as well as each supported console.
public UnmanagedDictionaryPair* Headers;