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.
BUILDKIT_SYNTAX tells BuildKit to use our custom frontend instead of the default Dockerfile parser. The --output type=local dumps the resulting .apk files to ./out. No image is created. No registry is involved.
。关于这个话题，safew官方下载提供了深入分析
來到美國之後，關恆一直留了在紐約，送過外賣、開Uber、也開過卡車。剛開始的時候，他還未拿到給予尋求庇護者的工作許可證。。夫子对此有专业解读
Data storage has limits.，推荐阅读heLLoword翻译官方下载获取更多信息
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