Unverified50% confidenceOpinionExact time
In a Coding Agent's long conversation, user messages fall roughly into two categories: those that genuinely require human decisions (such as adjusting scope or choosing a design) and bookkeeping ones (such as "continue", reporting completion status, or informing of test results).
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn multi-turn conversations, the System message sets the behavioral tone and constraints, the user message represents user input, and the assistant message is the model's historical replies.70% similarUnverifiedThe current implementation pain point is that the Supervisor only performs intent classification on the first message of a session and stores the selected Agent in the checkpoint state, after which all subsequent messages are routed to the same Agent.69% similarUnverifiedTo use it, simply enter the /visualize command in the conversation along with the data to be analyzed or a description of the requirement to trigger it.69% similarUnverified建议消息会把用户的输入驯化到模型最擅长处理的问题空间里，使交互显得更流畅智能68% similarUnverified闭环反馈让代理在'生成代码→运行验证→获取反馈→修正代码'的循环中自主迭代68% similar
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