Debugging this was interesting enough that I wrote a full separate blog about it, but I’ll summarize here.
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.，推荐阅读雷电模拟器官方版本下载获取更多信息
挑战全球高端市场之外，刘强东还提出了另一个更为雄心勃勃的愿景，他希望未来能够造出售价10万元的游艇，让普通工薪阶层也能用得起。，更多细节参见夫子
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