3月12-15日，上海新国际博览中心，AWE2026见！
“You should not feel too constricted and nor should you judge others for playing fast and loose with the King’s English,” Wesson said. “Just let brevity and clarity be your guide.”
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Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04。业内人士推荐im钱包官方下载作为进阶阅读
Жители Санкт-Петербурга устроили «крысогон»17:52
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.