Unverified50% confidenceFactExact time
Agent编程引入'计划-执行-反馈'循环机制，模型能调用终端执行、读取报错、分析失败原因并修订策略后再次尝试，区别于传统代码补全的单轮被动交互
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
GPT-5.6发布：Codex正式集成ChatGPT，AI编程迈入新阶段
twitterOpenAIDevs7/10/2026
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UnverifiedAgentic 编程工具能够理解整个任务目标，自主制定执行计划，并在执行过程中根据反馈动态调整策略83% similarUnverifiedAgent 系统需要管理跨多轮对话状态与记忆、错误恢复重试机制、工具调用权限管控与结果缓存及并发竞态问题，这些挑战与前端异步编程和状态管理知识高度重叠79% similarUnverified分层流程在底层实现了类似 ReAct（Reasoning + Acting）的推理循环，管理者 Agent 持续观察子 Agent 结果并动态决定任务分配79% similarUnverifiedA typical Agent execution loop includes perception, reasoning, action, and observation, forming the ReAct (Reasoning + Acting) pattern78% similarUnverifiedAgent Loop的底层运行逻辑是一个「感知-规划-行动-观察」的迭代循环78% similar
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