中国载人航天官宣航天员要天上待一年

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Stop Putting Secrets in .env Files

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朝阳多个立体停车设施将启动建设

“怀芯声学”完成数千万元天使轮融资,这一点在同城约会中也有详细论述

(二)已满十六周岁不满十八周岁,初次违反治安管理的;,推荐阅读夫子获取更多信息

视频 巴基斯坦与阿富

Раскрыты подробности похищения ребенка в Смоленске09:27,推荐阅读safew官方版本下载获取更多信息

Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.