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AI Agent 工程阅读清单|2026-09-23 本期收录 GitHub Copilot 本地 Sandbox、Agensh、CliffCompaction、SWE-Serve,以及 Copilot OpenTelemetry。
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AI agent engineering reading list | 2026-09-23 GitHub Copilot local sandboxing, Agensh, CliffCompaction, SWE-Serve, and enterprise OpenTelemetry support in the Copilot app.
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AI agent engineering reading list | 2026-09-22 Claude Opus 5.5 agent API compatibility, RRSI controls for harness overfitting, Harness-Zero behavior distillation, and Strands harness defaults.
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AI Agent 工程阅读清单|2026-09-22 本期收录 Claude Opus 5.5 的 Agent API 兼容变化、RRSI 的 Harness 过拟合控制、Harness-Zero 的行为蒸馏,以及 Strands harness 的默认策略。
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A Minecraft agent separates planning from fast decisions This Minecraft agent uses Astra for slow planning, JEV for frequent action selection, and Mineflayer for execution, with logs and scripts to verify runs.
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Minecraft Agent 把规划和即时决策拆成两层 这个 Minecraft Agent 让 Astra 负责慢规划、JEV 负责高频动作选择、Mineflayer 负责确定性执行,并用日志和验证脚本保留运行证据。
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When to split a task across agents: check dependencies How task dependencies shape multi-agent results, with SAIGE experiments, ablations, and OpenAI guidance for deciding when to delegate.
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一个任务什么时候该拆成多个 Agent?先看依赖关系 Rethinking Multi-Agent Collaboration 说明多 Agent 的收益取决于任务依赖结构。本文结合 SAIGE 主实验、消融实验和 OpenAI 多 Agent 工程建议,整理可执行的委派判断。
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How to score a coding agent that finishes 80% but fails Android Bench 2.0 keeps pass rate as a hard gate and adds completion rate to diagnose progress and unfinished acceptance requirements.
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Coding Agent 做完 80% 还失败,Eval 怎么记 Android Bench 2.0 保留 Pass rate 作为硬门禁,再用 Completion rate 解释长任务已经完成多少,以及问题卡在哪一类验收。
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AI agent engineering reading list | 2026-09-18 to 09-19 AI agent engineering readings for September 18 to 19, 2026, with key findings, engineering implications, suggested sections, and primary sources.
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2026-09-18 至 09-19|AI Agent 工程阅读清单 覆盖 2026-09-18 至 09-19 的 AI Agent 工程阅读日志,保留本期重点、工程意义、优先阅读位置与一手来源。