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.
В документе указывается на резкое падение прибыли, заказов и производства за последний год, что привело и к обрушению капиталовложений. Проблемы коснулись как гражданских предприятий, так и тех, что задействованы в оборонной сфере.
Seccomp-BPF inside the namespace — blocking syscalls like clone3 (preventing nested namespace escape), io_uring (force fallback to epoll), ptrace, kernel module loading，详情可参考搜狗输入法2026
} else if (response is FunctionCallResponse) {，详情可参考爱思助手下载最新版本
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Preset allowlist: AI APIs, package registries, Git/GitHub, Ubuntu repos, plus any custom domains。业内人士推荐safew官方版本下载作为进阶阅读