Stop钩子明明退出码0却收不到通知？三个macOS隐藏陷阱，帮你定位脚本静默死亡的真凶。
This is part of the "Claude Code environment" series, following on from Auto-syncing frontmatter and the index for Claude Code agents . You wrote a ho…
多Agent系统生产环境失败的核心是编排层，揭示了常见陷阱与可落地解决方法，而非大模型本身。
Most multi-agent demos look impressive on stage. Then they hit production and fall apart. Here's the pattern: agents that "worked" in a Jupyter notebo…
量化后的LLM看似准确率不变，但推理过程已悄然“空心化”，本文用六类故障图谱揭示这一隐患。
arXiv:2607.09999v1 Announce Type: cross Abstract: We show that post-training quantization can silently alter how large language models reason even whe…
LangChain代理静默失败两周无人知，这套监控方案帮你提前踩坑止损
Six weeks ago, a LangChain agent we'd deployed for a B2B client started failing on roughly 30% of its sessions. No exceptions. No 500s. Nothing in the…
历时八个月生产环境实证，揭示LLM agent运行时中40+类静默失败的演化规律
arXiv:2606.14589v1 Announce Type: cross Abstract: LLM agent systems increasingly run as long-lived autonomous runtimes: scheduling jobs, calling tools…
LLM智能体悄然失败？新研究用干预法精准定位错误根源，让沉默不再失控。
arXiv:2606.09071v1 Announce Type: new Abstract: Large language model (LLM) agents now solve complex tasks through long plan-and-execution traces, yet …