Unverified50% confidenceOpinionExact time
The project represents a new paradigm of Expert Behavior Mining—automatically extracting patterns and principles from traces of expert historical behavior.
1
Sources
50%
Confidence
Long-term
Relevance
8/7/2026
First Seen
Sources
从3.2万封邮件中提炼Linus的代码审查之道
Related Claims
UnverifiedIntelligent behaviors in Agents such as planning, reflection, and research fundamentally depend on precisely assembling the environmental state, historical memory, and task objectives into context at each moment before inputting them into the model.67% similarUnverifiedCopilot can be instructed to reference community expert library templates and automatically generate Agent configurations with a one-sentence command, with the AI collecting project information, extracting reference templates, determining Agent roles, and creating configuration files in the standard directory66% similarUnverified专家服务平民化路线的关键在于识别哪些环节可自动化（信息整理、流程提醒、模板匹配），哪些仍需人类判断（个性化策略、情感支持、伦理决策）66% similarUnverifiedThe skill-based architecture allows Agents to continuously optimize research strategies during use, and even train new sub-Agents to handle research tasks in specific domains.66% similarUnverifiedExpert Agents have built-in role settings, knowledge bases, and workflows, allowing users to get started by simply filling in blanks and making minor adjustments.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/703742API
curl https://kongchang.com/api/v1/knowledge/claims/703742MCP
get_claim(id=703742)