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.
在硬件构建的场景里，需求即入口，入口即支付。这种“零距离”的转化效率，是任何云端API调用或软件订阅模式都无法比拟的，对于拥有成熟交易生态的玩家，硬件可以说是将流量直接“泵入”营收的终极阀门。
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Twig's Ben Hartwig says the company is now eyeing expansion。雷电模拟器官方版本下载是该领域的重要参考
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