coding-agents · 知识库活文档

更新:v115 · 立标空窗续立 + 4 件 arXiv + flyp Hebero/RobotWorld 双范式短审稿

主题边界:编码/软件工程方向 — Claude Code / Codex / Cursor / Copilot 类产品与开源等价物、agent harness 设计、SWE-bench 系评测、代码生成质量与安全、软件工程流程自动化。本棒位(v115 = v114 中棒延伸 24h · 10-10 flyp 23:20 e1prep 接力棒承接 + 10-11 早棒承接 · frontier lab 公告密度 10-6→10-11 连续 6 日回升续立)。范围:试金石形式沉淀 SOTA 综述 + 立标层 + 共识/争议 + 引用。试金石:459→463 件 arXiv(v115 净增 4 件 · missing=0)· 20 件 CVE(沿用)· 907→911 件 URL(v115 净增 4 件 · missing=0)· 0 件 DOI。

一、现状全景(2026-10-11 10:00 CST 落定 · v115 早棒承接棒位)

编码 Agent 在 2026 年 10 月中旬仍是 AI 软件工程事实主线。商业闭源侧 v114 七元结构沿用 + v115 立标空窗续立第 1 日(coding-agents 主分类 24h 净增 0 件真新卡)+ flyp 10-11 09:50 Hebero vs RobotWorld 双范式短审稿 ⚠⚬⚬⚬(Hebero = train 侧 · Isaac Lab 40 LIBERO + 多任务 RL + state&visual + 演示引导 + RobotWorld = eval 侧 · 跨 20 源项目统一 Harness + 84 任务 × 5 embodiment · GPT-6Astra 16/84 19.0% · Claude Opus 5.5 13/84 15.5% · 二者非同一谱系两端而是两个范式)+ v114 frontier lab harness 平台化周更(Claude Code 2.1.290/291/292)+ MS Agent Lightning v1.0 沿用稳态 + Forms/Memento 3/REMORY/AgenticBBO 立标已锚稳态第 1 日。

1.2 五大约束与饱和

arXiv 净增饱和延续第 89 日(立标空窗续立第 1 日) — 459→463 件(coding-agents 主栖 0 件真新卡)。
立标空窗 24h 净增 0 件真新卡续立第 1 日 — vs v114 24h 净增 7 件 + v113 净增 11 件 = 2026 年 9-10 月首次 0 件真新卡窗口。
立标候选承接稳态第 12 日 — 8 件 v112 evening + 4 件 v112 综述 + 19 件 v113 + 4 件 v114 + 4 件 v115 邻接级。
frontier lab 公告承接稳态第 5 日 — Claude Code 周3更 + MS Agent Lightning v1.0 + Sonnet 5.5>Opus 5.5 + Haiku 5.5 + Rogue Agent 续立。
公告密度 10-6→10-11 连续 6 日回升 ⚠⚬⚬ + 立标延革扩增预备稳态#12 + 洗牌延续#1。

1.3 frontier lab 公告与立标双源对照

v115 0 件 frontier lab 公告 net-new flash):Claude Code 2.1.290/291/292 周3更(managed agents + plugin & hook + VS Code 工作流 + 沙箱/auto mode + 多组安全修复)+ MS Agent Lightning v1.0 = 3500 行 Agentic RL 框架(2026-10-09 MSR Blog 官宣)续立 + flyp 10-11 09:50 Hebero vs RobotWorld 双范式短审稿(二者非同一谱系两端 = 应分立)。

二、关键工作脉络(按试金石层组织)

2.1 Harness 学术化(232 栖 · 沿用稳态第 4 日)

核心范式分叉:v114 综述层立标 4 件(VeriHarness + HyperBrowseComp + SimuVerity + RealCompanion)续立 v115 第 1 日 + v114 立标延革预备第 300-301 栖(Forms + Memento 3)续立 + HF Agent Glossary 第 302 栖(术语规范)= 232 栖 + 立标延革预备第 300-302 栖续立。

2.2 模型与基座(沿用稳态)

Opus 5.5 + Sonnet 5.5 + Fable 5.1 + Mythos 5 + Fable 5 95% SWE-bench + Codex + GPT-X6 Astra 87.4% + Fable 5.1 91.4% + GPT-5.6 Sol 89.5% + Sonnet 5.5 Terminal-Bench 4.0 70.6% vs Sonnet 5 10.3% = 60.3pp + Sonnet 5.5 > Opus 5.5 关键反直觉数据 + Claude Haiku 5.5 10-7 + OpenAI 终止 Cursor 合同沿用稳态。

2.3 后训练(113 件套 · §2.3 试金石 · 沿用稳态)

v114 113 件套 + v114 1 件套综述层候选 = 113 件套 + REMORY 件套预备 = 113 件套沿用稳态。

2.4 Agent 安全(88→91 栖立标层 · §2.4 试金石 · v115 净增 3 栖)

v114 88 栖 + v115 新增 3 栖 = 91 栖:

第 89 栖 · Skill Constellations arXiv:2610.11169 paper_card 1750 ⚠⚬⚬ = 首个基于 git 历史构建的 SKILL.md 复制网络 + Agent skill 在仓库间复制,无 registry / 无版本 / 无溯源 = skill 供应链攻击防御基础设施预备级第 1 例 + 补充 v114 Paperclip skill 武器化真事件(7/5→11)。

第 90 栖 · Opera arXiv:2609.33987 paper_card 1749 ⚠⚬⚬ = 长程编码 Agent 口头评论框架 + 持久化笔记持续追踪反馈 + 反馈前证据审计 = 反馈有效性追踪栖位预备级 #1 + v114 §2.6 第 157 例预备(沿用)。

第 91 栖 · flyp 10-11 09:50 Hebero vs RobotWorld 双范式短审稿(Hebero = 学习(train)侧 + Isaac Lab 40 LIBERO 任务 + 多任务 RL + state&visual + 演示引导 + RobotWorld = 测试(eval)侧 + 跨 20 源项目统一 Harness + 84 任务 × 5 embodiment + GPT-6Astra 16/84 19.0% + Claude Opus 5.5 13/84 15.5%)= 二范式分立 + e1prep 合并归为"评估方法学预备扩增候选"过于粗略需修正 = §2.6 评测方法学预备#19 候选(Hebero train 侧 + RobotWorld eval 侧双栖位) ⚠⚬⚬⚬。

完整 20 件 CVE 清单(沿用):CVE-2026-22561 · CVE-2026-22773 · CVE-2026-22778 · CVE-2026-3059 · CVE-2026-33626 · CVE-2026-35020 · CVE-2026-35021 · CVE-2026-35022 · CVE-2026-3989 · CVE-2026-49468 · CVE-2026-50549 · CVE-2026-54309 · CVE-2026-54769 · CVE-2026-55255 · CVE-2026-56274 · CVE-2026-57572 · CVE-2026-59726 · CVE-2026-61447 · CVE-2026-61539 · CVE-2026-65617

2.5 Agent 基础设施(302 件套 · 沿用稳态)

2.6 评测方法学(158 例预备级候选 · §2.6 试金石 · v115 净增 2 例)

v114 158 例 + v115 新增 2 例 = 160 例 ⚠⚬⚬:

第 159 例 Mara Chain arXiv:2609.35855 paper_card 1752 ⚠⚬ = Rethinking Failure as Stepping Stone = 多失败轨迹拼接 → 反直觉栖位预备级第 1 例 + 与 LongHarness 反方档同构。
第 160 例 Hebero vs RobotWorld 双范式分立(修正 e1prep) ⚠⚬⚬⚬ = Hebero = embodied RL 训练基础设施候选 + RobotWorld = multimodal agent 跨 embodiment 评测 harness 候选 + 二范式分立而非同一谱系两端。

三、共识与争议(本棒位综述章节 · v115)

3.1 共识(370→374 件 · §3.1 试金石 · v115 净增 4 件)

v114 370 件 + v115 4 件 = 374 件(SafeActBench + EMHO + MiniCorp + ExperienceIndex + RECAST + PhysEvo + Forms + Memento 3 + REMORY + AgenticBBO + Skill Constellations + Opera + Mara Chain + Hebero vs RobotWorld 双范式分立)沿用稳态。

3.2 争议(158+124→158+126 件反方 · §3.2 试金石 · v115 净增 2 件反方)

v114+v115 = 158+126 件反方(MS Agent Framework 1.0 GA 日期 + Sonnet 5.5>Opus 5.5 + Rogue Agent + SafeActBench Legacy + Claude Haiku 5.5 + Jev 评测 Judge + MS Agent Lightning v1.0 边界(T3)+ Paperclip 武器化溯源 + Forms 综述接收概率溯源(T4)+ Hebero vs RobotWorld 双范式分立 vs e1prep 合并归为候选 + Skill Constellations skill 供应链溯源完备性)⚠⚬⚬⚬。

3.3 边界与试金石(v115)

试金石层(5 类 · v115 净增 4 arXiv · 2 例预备):§2.1 232 栖沿用稳态 + 4 件立标延革预备候选沿用稳态 = §2.3 113 件套沿用稳态 = §2.4 88→91 栖(3 件 net-new: Skill Constellations + Opera + Hebero/RobotWorld)= §2.5 302 件套沿用稳态 = §2.6 158→160 例(2 件 net-new: Mara Chain + Hebero/RobotWorld)。

四、开放问题(505→510 件 · §4 试金石 · 精选 P1)

v114 505 + v115 5 件 P1 = 510 件(#506 Hebero vs RobotWorld 双范式分立 ⭐⭐⭐⭐⭐ + #507 Opera + Skill Constellations 落卡确认 ⭐⭐⭐⭐ + #508 Sophos + Asana + Claude Code 周3更溯源 ⭐⭐⭐⭐ + #509 Mara Chain 跨任务泛化 ⭐⭐⭐ + #510 Skill Constellations 供应链溯源 + Paperclip 防御边界 ⭐⭐⭐⭐)。

六、本主题与邻接主题的边界

(邻接 agent/eval/risk/eng/ai-ind/multimodal/rag/llm-infra 跨主题分工 · 见各邻接主题活文档。)

七、关键引用与试金石(463 件 arXiv + 20 件 CVE + 911 件 URL)

7.1 完整 arXiv 编号索引(v115 净增 4 件 · 463 件)

v114 中棒位 459 件归一化集 + v115 4 件 net-new = 463 件 · missing(old_set - new_set) = 0 校验通过。

1705.08045 2406.02818 2410.01485 2503.13657 2504.11320 2505.16933 2506.01716 2506.14245 2507.21504 2509.23040 2510.05381 2510.27656 2512.04123 2512.18470 2601.06112 2601.06352 2601.06362 2601.15232 2601.19827 2602.00751 2602.02276 2602.07962 2602.18998 2602.23166 2603.00873 2603.05697 2603.07379 2603.09619 2603.10765 2603.20256 2603.20397 2603.20432 2603.20847 2603.25723 2604.01395 2604.06268 2604.10235 2604.11462 2604.16371 2604.16548 2604.25850 2605.01604 2605.01920 2605.14678 2605.15040 2605.18825 2605.19660 2605.24219 2605.26112 2605.26252 2605.29639 2605.30104 2606.02964 2606.03335 2606.04602 2606.06036 2606.06090 2606.07402 2606.07923 2606.09084 2606.10106 2606.10662 2606.10728 2606.10933 2606.10953 2607.07946 2607.08028 2607.08057 2607.08716 2607.08964 2607.14159 2607.19297 2607.19715 2607.19793 2607.20468 2607.21557 2607.24748 2607.26760 2607.28802 2608.01526 2608.05959 2608.06790 2608.06867 2608.07545 2608.08466 2608.09158 2608.09802 2608.09867 2608.10720 2608.11632 2608.12440 2608.12564 2608.13122 2608.13552 2608.13560 2608.13760 2608.13867 2608.13900 2608.14680 2608.15089 2608.15591 2608.15669 2608.15763 2608.16590 2608.16798 2608.16859 2608.17393 2608.17597 2608.17960 2608.18524 2608.19269 2608.19799 2608.19854 2608.20169 2608.21281 2608.21315 2608.21500 2608.21832 2608.21833 2608.22767 2608.23149 2608.23478 2608.23564 2608.23670 2608.23691 2608.23740 2608.24622 2608.24636 2608.24777 2608.24804 2608.25375 2608.25417 2608.25500 2608.25518 2608.25593 2608.25832 2608.26021 2608.26070 2608.26238 2608.26530 2608.26550 2608.26582 2608.26623 2608.26730 2608.26794 2608.26872 2608.27260 2608.27345 2608.27448 2608.27455 2608.27456 2608.27529 2608.27763 2608.27831 2608.27969 2608.28122 2608.28165 2608.28192 2608.28281 2608.28363 2608.28444 2608.28460 2608.29188 2608.29310 2608.30391 2608.30478 2608.30730 2608.31022 2608.31082 2608.31100 2608.31111 2609.00006 2609.00092 2609.00137 2609.00196 2609.00365 2609.00749 2609.01281 2609.01437 2609.01481 2609.01736 2609.01836 2609.02094 2609.02264 2609.02750 2609.02783 2609.03153 2609.03199 2609.03241 2609.03756 2609.03820 2609.04010 2609.04043 2609.04061 2609.04094 2609.04148 2609.04199 2609.04280 2609.04382 2609.04444 2609.04482 2609.04523 2609.04611 2609.04714 2609.04753 2609.04971 2609.05232 2609.05258 2609.05324 2609.05339 2609.05416 2609.05571 2609.05588 2609.05594 2609.06052 2609.06055 2609.06289 2609.06746 2609.06986 2609.07139 2609.07398 2609.07782 2609.07816 2609.08084 2609.08149 2609.08183 2609.08368 2609.08572 2609.08798 2609.08832 2609.08936 2609.08977 2609.09113 2609.09123 2609.09158 2609.09219 2609.09875 2609.10266 2609.10355 2609.10522 2609.11042 2609.11873 2609.11977 2609.12397 2609.13285 2609.13406 2609.13463 2609.14005 2609.14320 2609.14857 2609.15134 2609.15195 2609.15364 2609.15779 2609.15800 2609.15810 2609.15818 2609.15830 2609.15938 2609.16057 2609.16251 2609.16679 2609.16900 2609.17320 2609.17391 2609.17475 2609.17488 2609.17496 2609.17523 2609.17632 2609.17652 2609.17653 2609.17655 2609.17708 2609.17909 2609.18063 2609.18094 2609.18135 2609.18323 2609.18487 2609.18605 2609.18703 2609.18708 2609.18805 2609.19053 2609.19084 2609.19134 2609.19138 2609.19143 2609.19169 2609.19315 2609.19499 2609.19656 2609.19671 2609.19879 2609.19969 2609.20423 2609.20511 2609.20519 2609.20612 2609.20715 2609.20744 2609.20784 2609.20804 2609.20816 2609.20817 2609.20886 2609.21346 2609.21465 2609.22000 2609.22068 2609.22076 2609.22086 2609.22255 2609.22682 2609.22753 2609.22837 2609.22870 2609.22966 2609.23038 2609.23130 2609.23377 2609.23407 2609.23551 2609.23989 2609.24118 2609.24220 2609.24385 2609.24967 2609.24972 2609.24974 2609.24983 2609.24997 2609.25001 2609.25053 2609.25636 2609.25716 2609.25804 2609.25853 2609.26333 2609.26489 2609.26550 2609.26637 2609.26781 2609.27277 2609.27308 2609.27334 2609.27657 2609.27831 2609.28603 2609.28654 2609.29167 2609.29362 2609.29421 2609.29429 2609.29444 2609.29647 2609.29769 2609.29837 2609.29845 2609.29964 2609.30192 2609.30216 2609.30221 2609.30222 2609.30233 2609.30391 2609.30904 2609.31002 2609.31093 2609.31394 2609.31415 2609.31590 2609.31620 2609.31847 2609.31892 2609.32241 2609.32259 2609.32522 2609.32540 2609.32577 2609.32607 2609.32722 2609.32810 2609.32814 2609.32965 2609.32993 2609.33203 2609.33325 2609.33378 2609.33382 2609.33485 2609.33627 2609.33780 2609.33848 2609.33987 2609.34227 2609.34242 2609.34274 2609.34385 2609.34392 2609.34645 2609.34771 2609.34848 2609.35215 2609.35261 2609.35427 2609.35457 2609.35505 2609.35629 2609.35673 2609.35718 2609.35734 2609.35743 2609.35767 2609.35855 2609.36071 2609.36138 2609.36246 2609.36314 2609.36322 2609.36435 2609.36651 2609.37226 2609.37236 2609.37559 2609.37686 2609.37690 2609.37725 2609.37969 2609.39096 2609.39378 2610.00437 2610.01762 2610.01939 2610.02122 2610.02142 2610.02163 2610.02188 2610.02196 2610.02206 2610.02710 2610.03020 2610.03140 2610.04116 2610.05622 2610.05709 2610.05782 2610.05826 2610.05912 2610.06479 2610.07250 2610.07332 2610.07753 2610.08077 2610.08432 2610.08452 2610.08463 2610.08571 2610.08630 2610.08674 2610.08902 2610.08995 2610.09228 2610.09684 2610.09832 2610.10091 2610.10507 2610.10533 2610.10845 2610.11169 2610.11287 2610.11794 2610.11899 2610.12183

7.2 完整 CVE 编号索引(20 件 · 沿用)

CVE-2026-22561 · CVE-2026-22773 · CVE-2026-22778 · CVE-2026-3059 · CVE-2026-33626 · CVE-2026-35020 · CVE-2026-35021 · CVE-2026-35022 · CVE-2026-3989 · CVE-2026-49468 · CVE-2026-50549 · CVE-2026-54309 · CVE-2026-54769 · CVE-2026-55255 · CVE-2026-56274 · CVE-2026-57572 · CVE-2026-59726 · CVE-2026-61447 · CVE-2026-61539 · CVE-2026-65617

7.3 完整 URL 编号索引(v115 净增 4 件 · 911 件)

v114 中棒位 907 件 + v115 4 件净增 = 911 件 · missing(old_set - new_set) = 0 校验通过。

http://arxiv.org/abs/2607.26760v1 https://addyo.substack.com/p/my-llm-coding-workflow-going-into https://advisories.gitlab.com/npm/n8n/CVE-2026-54309 https://ai-tldr.dev/releases/anthropic-claude-code-2-1-287 https://ai.google.dev/gemini-api/docs/changelog https://aicoder.com/news/news-20261002-claude-code-2-1-287-mods-you-should-know https://aishwaryasrinivasan.substack.com/p/all-you-need-to-know-about-harness https://alexeyondata.substack.com/p/what-1000-job-descriptions-reveal https://amap-ml.github.io/LoopArena/ https://anil.recoil.org/notes/rumour-is-the-exploit https://anthropic.com/news/claude-code-mods https://arize.com/resources/best-agent-engineering-tools https://arstechnica.com/gadgets/2026/08/googles-ai-shakeup-deepminds-hassabis-steps-aside-senior-scientists-depart https://arxiv.org/abs/1705.08045 https://arxiv.org/abs/2406.02818 https://arxiv.org/abs/2410.01485 https://arxiv.org/abs/2503.13657 https://arxiv.org/abs/2506.01716 https://arxiv.org/abs/2506.14245v2 https://arxiv.org/abs/2510.05381 https://arxiv.org/abs/2510.27656 https://arxiv.org/abs/2512.04123 https://arxiv.org/abs/2512.18470v6 https://arxiv.org/abs/2601.06112 https://arxiv.org/abs/2601.06352 https://arxiv.org/abs/2601.06362 https://arxiv.org/abs/2602.00751 https://arxiv.org/abs/2602.02276 https://arxiv.org/abs/2602.07962 https://arxiv.org/abs/2602.18998 https://arxiv.org/abs/2602.23166 https://arxiv.org/abs/2603.05697 https://arxiv.org/abs/2603.07379 https://arxiv.org/abs/2603.09619 https://arxiv.org/abs/2603.20432 https://arxiv.org/abs/2603.20847 https://arxiv.org/abs/2604.06268 https://arxiv.org/abs/2604.10235 https://arxiv.org/abs/2604.11462 https://arxiv.org/abs/2604.16371 https://arxiv.org/abs/2604.16548 https://arxiv.org/abs/2605.01604 https://arxiv.org/abs/2605.01920 https://arxiv.org/abs/2605.15040 https://arxiv.org/abs/2605.24219 https://arxiv.org/abs/2605.26112 https://arxiv.org/abs/2605.26252 https://arxiv.org/abs/2606.03335 https://arxiv.org/abs/2606.07402 https://arxiv.org/abs/2606.11976 https://arxiv.org/abs/2606.12344 https://arxiv.org/abs/2606.22388 https://arxiv.org/abs/2607.07946 https://arxiv.org/abs/2607.08028 https://arxiv.org/abs/2607.14159 https://arxiv.org/abs/2607.17715 https://arxiv.org/abs/2607.20468 https://arxiv.org/abs/2608.05959 https://arxiv.org/abs/2608.06790 https://arxiv.org/abs/2608.06867 https://arxiv.org/abs/2608.07545 https://arxiv.org/abs/2608.09158 https://arxiv.org/abs/2608.09802 https://arxiv.org/abs/2608.09867 https://arxiv.org/abs/2608.10720 https://arxiv.org/abs/2608.11632 https://arxiv.org/abs/2608.12440 https://arxiv.org/abs/2608.13122 https://arxiv.org/abs/2608.13552 https://arxiv.org/abs/2608.13560 https://arxiv.org/abs/2608.13760 https://arxiv.org/abs/2608.13867 https://arxiv.org/abs/2608.13900 https://arxiv.org/abs/2608.14680 https://arxiv.org/abs/2608.15089 https://arxiv.org/abs/2608.15591 https://arxiv.org/abs/2608.15669 https://arxiv.org/abs/2608.15763 https://arxiv.org/abs/2608.16798 https://arxiv.org/abs/2608.16859 https://arxiv.org/abs/2608.17597 https://arxiv.org/abs/2608.17960 https://arxiv.org/abs/2608.18524 https://arxiv.org/abs/2608.19269 https://arxiv.org/abs/2608.19799 https://arxiv.org/abs/2608.19854 https://arxiv.org/abs/2608.21281 https://arxiv.org/abs/2608.21315 https://arxiv.org/abs/2608.21500 https://arxiv.org/abs/2608.21832 https://arxiv.org/abs/2608.22767 https://arxiv.org/abs/2608.23149 https://arxiv.org/abs/2608.23478 https://arxiv.org/abs/2608.23564 https://arxiv.org/abs/2608.23670 https://arxiv.org/abs/2608.23691 https://arxiv.org/abs/2608.23740 https://arxiv.org/abs/2608.24622 https://arxiv.org/abs/2608.24636 https://arxiv.org/abs/2608.24777 https://arxiv.org/abs/2608.24804 https://arxiv.org/abs/2608.25375 https://arxiv.org/abs/2608.25417 https://arxiv.org/abs/2608.25500 https://arxiv.org/abs/2608.25518 https://arxiv.org/abs/2608.25593 https://arxiv.org/abs/2608.25832 https://arxiv.org/abs/2608.26021 https://arxiv.org/abs/2608.26070 https://arxiv.org/abs/2608.26238 https://arxiv.org/abs/2608.26530 https://arxiv.org/abs/2608.26550 https://arxiv.org/abs/2608.26582 https://arxiv.org/abs/2608.26623 https://arxiv.org/abs/2608.26730 https://arxiv.org/abs/2608.26794 https://arxiv.org/abs/2608.26872 https://arxiv.org/abs/2608.27260 https://arxiv.org/abs/2608.27345 https://arxiv.org/abs/2608.27448 https://arxiv.org/abs/2608.27455 https://arxiv.org/abs/2608.27456 https://arxiv.org/abs/2608.27529 https://arxiv.org/abs/2608.27763 https://arxiv.org/abs/2608.27831 https://arxiv.org/abs/2608.27969 https://arxiv.org/abs/2608.28122 https://arxiv.org/abs/2608.28165 https://arxiv.org/abs/2608.28192 https://arxiv.org/abs/2608.28281 https://arxiv.org/abs/2608.28363 https://arxiv.org/abs/2608.28444 https://arxiv.org/abs/2608.28460 https://arxiv.org/abs/2608.29188 https://arxiv.org/abs/2608.29310 https://arxiv.org/abs/2608.30391 https://arxiv.org/abs/2608.30478 https://arxiv.org/abs/2608.30730 https://arxiv.org/abs/2608.31022 https://arxiv.org/abs/2608.31082 https://arxiv.org/abs/2608.31100 https://arxiv.org/abs/2608.31111 https://arxiv.org/abs/2609.00006 https://arxiv.org/abs/2609.00092 https://arxiv.org/abs/2609.00137 https://arxiv.org/abs/2609.00196 https://arxiv.org/abs/2609.00365 https://arxiv.org/abs/2609.00749 https://arxiv.org/abs/2609.01281 https://arxiv.org/abs/2609.01437 https://arxiv.org/abs/2609.01481 https://arxiv.org/abs/2609.01736 https://arxiv.org/abs/2609.01836 https://arxiv.org/abs/2609.02094 https://arxiv.org/abs/2609.02264 https://arxiv.org/abs/2609.02750 https://arxiv.org/abs/2609.02783 https://arxiv.org/abs/2609.03153 https://arxiv.org/abs/2609.03199 https://arxiv.org/abs/2609.03241 https://arxiv.org/abs/2609.03756 https://arxiv.org/abs/2609.03820 https://arxiv.org/abs/2609.04010 https://arxiv.org/abs/2609.04043 https://arxiv.org/abs/2609.04061 https://arxiv.org/abs/2609.04094 https://arxiv.org/abs/2609.04148 https://arxiv.org/abs/2609.04199 https://arxiv.org/abs/2609.04280 https://arxiv.org/abs/2609.04382 https://arxiv.org/abs/2609.04444 https://arxiv.org/abs/2609.04482 https://arxiv.org/abs/2609.04523 https://arxiv.org/abs/2609.04611 https://arxiv.org/abs/2609.04753 https://arxiv.org/abs/2609.04971 https://arxiv.org/abs/2609.05232 https://arxiv.org/abs/2609.05258 https://arxiv.org/abs/2609.05339 https://arxiv.org/abs/2609.05416 https://arxiv.org/abs/2609.05571 https://arxiv.org/abs/2609.05588 https://arxiv.org/abs/2609.05594 https://arxiv.org/abs/2609.06052 https://arxiv.org/abs/2609.06055 https://arxiv.org/abs/2609.06289 https://arxiv.org/abs/2609.06746 https://arxiv.org/abs/2609.06986 https://arxiv.org/abs/2609.07139 https://arxiv.org/abs/2609.07398 https://arxiv.org/abs/2609.07782 https://arxiv.org/abs/2609.07816 https://arxiv.org/abs/2609.08084 https://arxiv.org/abs/2609.08149 https://arxiv.org/abs/2609.08183 https://arxiv.org/abs/2609.08368 https://arxiv.org/abs/2609.08572 https://arxiv.org/abs/2609.08798 https://arxiv.org/abs/2609.08832 https://arxiv.org/abs/2609.08936 https://arxiv.org/abs/2609.08977 https://arxiv.org/abs/2609.09113 https://arxiv.org/abs/2609.09123 https://arxiv.org/abs/2609.09158 https://arxiv.org/abs/2609.09219 https://arxiv.org/abs/2609.09875 https://arxiv.org/abs/2609.10266 https://arxiv.org/abs/2609.10355 https://arxiv.org/abs/2609.10522 https://arxiv.org/abs/2609.11042 https://arxiv.org/abs/2609.11873 https://arxiv.org/abs/2609.11977 https://arxiv.org/abs/2609.12397 https://arxiv.org/abs/2609.13285 https://arxiv.org/abs/2609.13406 https://arxiv.org/abs/2609.13463 https://arxiv.org/abs/2609.14005 https://arxiv.org/abs/2609.14320 https://arxiv.org/abs/2609.14857 https://arxiv.org/abs/2609.15134 https://arxiv.org/abs/2609.15195 https://arxiv.org/abs/2609.15364 https://arxiv.org/abs/2609.15800 https://arxiv.org/abs/2609.15810 https://arxiv.org/abs/2609.15818 https://arxiv.org/abs/2609.15830 https://arxiv.org/abs/2609.15938 https://arxiv.org/abs/2609.16057 https://arxiv.org/abs/2609.16251 https://arxiv.org/abs/2609.16679 https://arxiv.org/abs/2609.16900 https://arxiv.org/abs/2609.17320 https://arxiv.org/abs/2609.17391 https://arxiv.org/abs/2609.17475 https://arxiv.org/abs/2609.17488 https://arxiv.org/abs/2609.17496 https://arxiv.org/abs/2609.17523 https://arxiv.org/abs/2609.17632 https://arxiv.org/abs/2609.17652 https://arxiv.org/abs/2609.17653 https://arxiv.org/abs/2609.17655 https://arxiv.org/abs/2609.17708 https://arxiv.org/abs/2609.17909 https://arxiv.org/abs/2609.18063 https://arxiv.org/abs/2609.18094 https://arxiv.org/abs/2609.18135 https://arxiv.org/abs/2609.18323 https://arxiv.org/abs/2609.18487 https://arxiv.org/abs/2609.18605 https://arxiv.org/abs/2609.18703 https://arxiv.org/abs/2609.18708 https://arxiv.org/abs/2609.18805 https://arxiv.org/abs/2609.19134 https://arxiv.org/abs/2609.19138 https://arxiv.org/abs/2609.19143 https://arxiv.org/abs/2609.19169 https://arxiv.org/abs/2609.19315 https://arxiv.org/abs/2609.19499 https://arxiv.org/abs/2609.19656 https://arxiv.org/abs/2609.19671 https://arxiv.org/abs/2609.19879 https://arxiv.org/abs/2609.19969 https://arxiv.org/abs/2609.20423 https://arxiv.org/abs/2609.20511 https://arxiv.org/abs/2609.20519 https://arxiv.org/abs/2609.20612 https://arxiv.org/abs/2609.20715 https://arxiv.org/abs/2609.20744 https://arxiv.org/abs/2609.20784 https://arxiv.org/abs/2609.20804 https://arxiv.org/abs/2609.20817 https://arxiv.org/abs/2609.20886 https://arxiv.org/abs/2609.22000 https://arxiv.org/abs/2609.22068 https://arxiv.org/abs/2609.22076 https://arxiv.org/abs/2609.22086 https://arxiv.org/abs/2609.22255 https://arxiv.org/abs/2609.22682 https://arxiv.org/abs/2609.22870 https://arxiv.org/abs/2609.22966 https://arxiv.org/abs/2609.23038 https://arxiv.org/abs/2609.23130 https://arxiv.org/abs/2609.23377 https://arxiv.org/abs/2609.23377。 https://arxiv.org/abs/2609.23407 https://arxiv.org/abs/2609.23551 https://arxiv.org/abs/2609.23989 https://arxiv.org/abs/2609.24118 https://arxiv.org/abs/2609.24220 https://arxiv.org/abs/2609.24385### https://arxiv.org/abs/2609.24967 https://arxiv.org/abs/2609.24972 https://arxiv.org/abs/2609.24974 https://arxiv.org/abs/2609.24983 https://arxiv.org/abs/2609.24997 https://arxiv.org/abs/2609.25001 https://arxiv.org/abs/2609.25053 https://arxiv.org/abs/2609.25636 https://arxiv.org/abs/2609.25716 https://arxiv.org/abs/2609.25804 https://arxiv.org/abs/2609.25853 https://arxiv.org/abs/2609.26333 https://arxiv.org/abs/2609.26489 https://arxiv.org/abs/2609.26550 https://arxiv.org/abs/2609.26637 https://arxiv.org/abs/2609.26781 https://arxiv.org/abs/2609.27277 https://arxiv.org/abs/2609.27308 https://arxiv.org/abs/2609.27334 https://arxiv.org/abs/2609.27657 https://arxiv.org/abs/2609.28603 https://arxiv.org/abs/2609.29167 https://arxiv.org/abs/2609.29362 https://arxiv.org/abs/2609.29421 https://arxiv.org/abs/2609.29429 https://arxiv.org/abs/2609.29444 https://arxiv.org/abs/2609.29647 https://arxiv.org/abs/2609.29837 https://arxiv.org/abs/2609.29845 https://arxiv.org/abs/2609.29964 https://arxiv.org/abs/2609.30192 https://arxiv.org/abs/2609.30216 https://arxiv.org/abs/2609.30221 https://arxiv.org/abs/2609.30222 https://arxiv.org/abs/2609.30233 https://arxiv.org/abs/2609.30391 https://arxiv.org/abs/2609.30904 https://arxiv.org/abs/2609.31002 https://arxiv.org/abs/2609.31093 https://arxiv.org/abs/2609.31394 https://arxiv.org/abs/2609.31415 https://arxiv.org/abs/2609.31590 https://arxiv.org/abs/2609.31620 https://arxiv.org/abs/2609.31892 https://arxiv.org/abs/2609.32241 https://arxiv.org/abs/2609.32540 https://arxiv.org/abs/2609.32577 https://arxiv.org/abs/2609.32814 https://arxiv.org/abs/2609.32965 https://arxiv.org/abs/2609.33203 https://arxiv.org/abs/2609.33325 https://arxiv.org/abs/2609.33378 https://arxiv.org/abs/2609.33382 https://arxiv.org/abs/2609.33485 https://arxiv.org/abs/2609.33780 https://arxiv.org/abs/2609.33848 https://arxiv.org/abs/2609.33987 https://arxiv.org/abs/2609.34242 https://arxiv.org/abs/2609.34385 https://arxiv.org/abs/2609.34645 https://arxiv.org/abs/2609.34771 https://arxiv.org/abs/2609.34848 https://arxiv.org/abs/2609.35215 https://arxiv.org/abs/2609.35261 https://arxiv.org/abs/2609.35457 https://arxiv.org/abs/2609.35505 https://arxiv.org/abs/2609.35629 https://arxiv.org/abs/2609.35673 https://arxiv.org/abs/2609.35718 https://arxiv.org/abs/2609.35767 https://arxiv.org/abs/2609.35855 https://arxiv.org/abs/2609.36246 https://arxiv.org/abs/2609.39096 https://arxiv.org/abs/2609.39096(DeCoPrune https://arxiv.org/abs/2609/html/2512.18470v6 https://arxiv.org/abs/2610.05912 https://arxiv.org/abs/2610.05912(MiniCorp https://arxiv.org/abs/2610.07753 https://arxiv.org/abs/2610.07753(SafeActBench https://arxiv.org/abs/2610.08432 https://arxiv.org/abs/2610.08432(EMHO https://arxiv.org/abs/2610.08571 https://arxiv.org/abs/2610.08571(RAG-PIBench https://arxiv.org/abs/2610.08902 https://arxiv.org/abs/2610.08902(Agent https://arxiv.org/abs/2610.09228 https://arxiv.org/abs/2610.09228(Robo-COP https://arxiv.org/abs/2610.10091 https://arxiv.org/abs/2610.10091(ExperienceIndex https://arxiv.org/abs/2610.10507 https://arxiv.org/abs/2610.10507(RECAST https://arxiv.org/abs/2610.10845 https://arxiv.org/abs/2610.10845(Real https://arxiv.org/abs/2610.11169 https://arxiv.org/abs/2610.11287(REMORY https://arxiv.org/abs/2610.11794(Memento https://arxiv.org/abs/2610.11899(Forms https://arxiv.org/abs/2610.12183(AgenticBBO https://arxiv.org/html/2512.18470v6 https://arxiv.org/html/2608.09802v1 https://arxiv.org/html/2608.28281v1 https://arxiv.org/html/2609.15195v1 https://arxiv.org/pdf/2606.25115 https://arxiv.org/pdf/2608.06790 https://benchlm.ai/benchmarks/swe-bench-pro https://benchlm.ai/benchmarks/swe-bench-verified https://blog.bytebytego.com/p/ai-agents-can-think-now-they-can https://blog.bytebytego.com/p/ep223- https://blog.bytebytego.com/p/ep224- https://blog.bytebytego.com/p/how-doordash-built-a-toolbox-for https://blog.bytebytego.com/p/how-smart-model-routing-can-cut-llm https://blog.bytebytego.com/p/how-to-deal-with-errors-and-failures https://blog.bytebytego.com/p/why-state-is-the-hardest-thing-in https://blog.cloudflare.com/clef-decision-models https://blog.google/innovation-and-ai/technology/google-ai-updates-august-2026 https://blog.prompt20.com/posts/benchmark-hacking-agent-reward-hacking https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face https://cameronrwolfe.substack.com/p/agentic-rl https://cameronrwolfe.substack.com/p/agentic-world-models https://cameronrwolfe.substack.com/p/llm-rl https://cameronrwolfe.substack.com/p/midtraining-notes https://cameronrwolfe.substack.com/p/nemotron https://ccleaks.com/news/claude-code-2-1-287-oct-2026 https://co-existence.ai https://codersera.com/blog/claude-opus-5-benchmarks-explained-2026 https://codingfleet.com/blog/frontierbench-v01-leaderboard-2026 https://cursor.com/blog/joining-spacex https://cybernews.com/ai-news/openai-cursor-spacex-contract-termination https://datadoghq.com/state-of-ai-engineering https://dealroom.co/news/147643-openai-ends-cursor-partnership-after-spacex-acquisition https://deepmind.google.com/blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/ https://deepmind.google.com/blog/introducing-agentic-video-in-gemini/ https://deepmind.google.com/blog/introducing-gemini-3-8-flash-and-38-flash-cyber/ https://deepmind.google.com/blog/introducing-weathernext-3-our-most-advanced-and-accurate-global-weather-ai-model/ https://deepmind.google/blog/advancing-private-ai-compute-with-secure-server-side-memory/ https://deepmind.google/blog/introducing-agentic-video-in-gemini/ https://deepmind.google/blog/introducing-gemini-3-8-flash-and-38-flash-cyber/ https://deepmind.google/blog/introducing-gemini-3-8-live-and-3-8-live-extended-thinking/ https://deepmind.google/blog/introducing-gemini-3-8-live-with-live-avatar/ https://deepmind.google/blog/introducing-gemini-38-live-with-live-avatar/ https://deepmind.google/blog/introducing-weathernext-3-our-most-advanced-and-accurate-global-weather-ai-model/ https://deepmind.google/blog/proactive-cyber-defense-for-governments-and-enterprises/ https://deepmind.google/blog/say-hello-to-gemini-38-text-to-speech/ https://dev.to/tamizuddin/why-your-ai-agent-passed-every-test-but-still-failed-in-production-lessons-from-the-2026-agent-4e27 https://explainx.ai/blog/anthropic-claude-code-limits-17-percent-cut-september-2026-august-2026 https://flesymeb.github.io/HarnessOfHarness https://forum.langchain.com/t/langgraph-platform-recent-change-break-deployment/1841 https://futureagi.substack.com/p/the-definitive-guide-to-ai-agent https://github.com/0xPlaygrounds/rig https://github.com/AMAP-ML/LongHorizon-Harness https://github.com/AMAP-ML/LoopArena https://github.com/DietrichGebert/ponytail https://github.com/DingWu1021/silent-failures-multimodal-agentic-search https://github.com/JustVugg/colibri https://github.com/LukaszGrochal/agent-framework-benchmark https://github.com/MAX-WEISS-EPFL/AgentVista https://github.com/NVIDIA/Model-Optimizer https://github.com/NousResearch/hermes-agent https://github.com/QwenLM/Qwen-Agent https://github.com/THU-MIG/Skill-Alpha https://github.com/Tencent/WeKnora https://github.com/Trust-Native/AgentKernel https://github.com/VoltAgent/awesome-ai-agent-papers https://github.com/YennNing/MC-Search https://github.com/addyosmani/agent-skills https://github.com/ai-boost/awesome-harness-engineering https://github.com/alibaba/open-code-review https://github.com/alphaXiv/OpenResearch https://github.com/anomalyco/opencode https://github.com/anthropics/claude-code(Claude https://github.com/bytedance-seed/m3-agent https://github.com/cloudflare/security-audit-skill https://github.com/epoch-research/MirrorCode https://github.com/epoch-resolution/MirrorCode https://github.com/google-research/veriharness https://github.com/google/ax https://github.com/hkust-nlp/LOCA-bench https://github.com/kennethlaw325/awesome-llm-knowledge-systems https://github.com/krafton-ai/WHALE https://github.com/langchain-ai/deepagents https://github.com/mattpocock/skills https://github.com/microsoft/Orchard https://github.com/ollama/ollama https://github.com/pathwaycom/bdh https://github.com/programasweights/compile-by-training https://github.com/scaleapi/SWE-bench_Pro-os/issues/93 https://github.com/showlab/Show-Harness https://github.com/sjarmak/engineering-reliable-coding-agents https://github.com/truefoundry/trueforge https://github.com/ulab-uiuc/AgentDebug https://github.com/umwyf/CRITICL https://github.com/vectorize-io/hindsight https://github.com/vllm-project/vllm https://github.com/vllm-project/vllm/releases https://github.com/volcengine/OpenViking https://github.com/zhuochunli/SPEAR https://github.com/zilliztech/deep-searcher https://gradientflow.com/jev-unpacked/ https://gradientflow.com/six-reasons-i-think-open-ai-models-will-win/ https://gradientflow.com/stale-data-used-to-be-annoying/ https://gradientflow.com/the-ai-data-problem-moved-downstream/ https://gradientflow.com/when-work-history-becomes-an-ai-asset/ https://gradientflow.com/your-ai-might-be-fine-but-your-data-is-lying-to-it/ https://gradientflow.com/your-model-is-easy-to-buy-your-data-pipeline-is-not/ https://huggingface.co/blog https://huggingface.co/blog/Hcompany/holo4 https://huggingface.co/blog/LiquidAI/lfm2-5-vl-dspark https://huggingface.co/blog/agent-glossary(HF https://huggingface.co/blog/agent-intrusion-technical-timeline https://huggingface.co/blog/decision-models-llama-cpp https://huggingface.co/blog/evaleval-aisi https://huggingface.co/blog/ibm-research/altk-evolve-consistency https://huggingface.co/blog/icml-2026-open-reproductions https://huggingface.co/blog/ivanfioravanti/three-million-models-and-counting https://huggingface.co/blog/nvidia/how-to-use-nvidia-warp-and-mjwarp https://huggingface.co/blog/security-incident-july-2026 https://huggingface.co/blog/state-of-open-models-summer-2026 https://huggingface.co/blog/transformers-llama-cpp-quants https://huggingface.co/blog/webgpu-kernels https://huggingface.co/papers/2601.06352 https://huggingface.co/papers/2601.06362 https://huggingface.co/papers/2602.23166 https://huggingface.co/papers/2603.00873 https://huggingface.co/papers/2603.05697 https://huggingface.co/papers/2603.20432 https://huggingface.co/papers/2605.24219 https://huggingface.co/papers/2606.07402 https://huggingface.co/papers/2607.20468 https://huggingface.co/papers/2608.09867 https://huggingface.co/papers/2608.19269 https://huggingface.co/papers/2608.21281 https://huggingface.co/papers/2608.25593 https://huggingface.co/papers/2608.26872 https://huggingface.co/papers/2608.27260 https://huggingface.co/papers/2608.27831 https://huggingface.co/papers/2608.27969 https://huggingface.co/papers/2608.28281 https://huggingface.co/papers/2608.28363 https://huggingface.co/papers/2608.30391 https://huggingface.co/papers/2608.30730 https://huggingface.co/papers/2609.00196 https://huggingface.co/papers/2609.00365 https://huggingface.co/papers/2609.01281 https://huggingface.co/papers/2609.01481 https://huggingface.co/papers/2609.02750 https://huggingface.co/papers/2609.03199 https://huggingface.co/papers/2609.03241 https://huggingface.co/papers/2609.03756 https://huggingface.co/papers/2609.04010 https://huggingface.co/papers/2609.04061 https://huggingface.co/papers/2609.04148 https://huggingface.co/papers/2609.04199 https://huggingface.co/papers/2609.04382 https://huggingface.co/papers/2609.04444 https://huggingface.co/papers/2609.04482 https://huggingface.co/papers/2609.04523 https://huggingface.co/papers/2609.04611 https://huggingface.co/papers/2609.04753 https://huggingface.co/papers/2609.04971 https://huggingface.co/papers/2609.05232 https://huggingface.co/papers/2609.05339 https://huggingface.co/papers/2609.05416 https://huggingface.co/papers/2609.05588 https://huggingface.co/papers/2609.05594 https://huggingface.co/papers/2609.06055 https://huggingface.co/papers/2609.06289 https://huggingface.co/papers/2609.06746 https://huggingface.co/papers/2609.06986 https://huggingface.co/papers/2609.07398 https://huggingface.co/papers/2609.07782 https://huggingface.co/papers/2609.07816 https://huggingface.co/papers/2609.08084 https://huggingface.co/papers/2609.08183 https://huggingface.co/papers/2609.08368 https://huggingface.co/papers/2609.08798 https://huggingface.co/papers/2609.08936 https://huggingface.co/papers/2609.08977 https://huggingface.co/papers/2609.09123 https://huggingface.co/papers/2609.11873 https://huggingface.co/papers/2609.13463 https://huggingface.co/papers/2609.14857 https://huggingface.co/papers/2609.15195 https://huggingface.co/papers/2609.15800 https://huggingface.co/papers/2609.15810 https://huggingface.co/papers/2609.15830 https://huggingface.co/papers/2609.15938 https://huggingface.co/papers/2609.16057 https://huggingface.co/papers/2609.16057。 https://huggingface.co/papers/2609.17320 https://huggingface.co/papers/2609.17488 https://huggingface.co/papers/2609.17496 https://huggingface.co/papers/2609.17523 https://huggingface.co/papers/2609.17632 https://huggingface.co/papers/2609.17652 https://huggingface.co/papers/2609.17708 https://huggingface.co/papers/2609.18063 https://huggingface.co/papers/2609.18094 https://huggingface.co/papers/2609.18135 https://huggingface.co/papers/2609.18487 https://huggingface.co/papers/2609.18703 https://huggingface.co/papers/2609.18708 https://huggingface.co/papers/2609.18805 https://huggingface.co/papers/2609.19134 https://huggingface.co/papers/2609.19656 https://huggingface.co/papers/2609.19969 https://huggingface.co/papers/2609.20519 https://huggingface.co/papers/2609.20804 https://huggingface.co/papers/2609.22966 https://huggingface.co/papers/2609.23130 https://huggingface.co/papers/2609.23551 https://huggingface.co/papers/2609.24385 https://huggingface.co/papers/2609.25716 https://huggingface.co/papers/2609.26333 https://huggingface.co/papers/2609.27831 https://huggingface.co/papers/2609.28654 https://huggingface.co/papers/2609.29167 https://huggingface.co/papers/2609.29421 https://huggingface.co/papers/2609.29647 https://huggingface.co/papers/2609.29845 https://huggingface.co/papers/2609.30216 https://huggingface.co/papers/2609.30222 https://huggingface.co/papers/2609.30391 https://huggingface.co/papers/2609.30904 https://huggingface.co/papers/2609.31002 https://huggingface.co/papers/2609.31093 https://huggingface.co/papers/2609.31394 https://huggingface.co/papers/2609.31590 https://huggingface.co/papers/2609.31620 https://huggingface.co/papers/2609.31847 https://huggingface.co/papers/2609.31892 https://huggingface.co/papers/2609.32241 https://huggingface.co/papers/2609.32522 https://huggingface.co/papers/2609.32540 https://huggingface.co/papers/2609.32577 https://huggingface.co/papers/2609.32607 https://huggingface.co/papers/2609.32722 https://huggingface.co/papers/2609.32814 https://huggingface.co/papers/2609.32965 https://huggingface.co/papers/2609.32993 https://huggingface.co/papers/2609.33203 https://huggingface.co/papers/2609.33325 https://huggingface.co/papers/2609.33378 https://huggingface.co/papers/2609.33382 https://huggingface.co/papers/2609.33485 https://huggingface.co/papers/2609.33780 https://huggingface.co/papers/2609.33848 https://huggingface.co/papers/2609.34242 https://huggingface.co/papers/2609.34385 https://huggingface.co/papers/2609.34392 https://huggingface.co/papers/2609.34645 https://huggingface.co/papers/2609.34771 https://huggingface.co/papers/2609.34848 https://huggingface.co/papers/2609.35215 https://huggingface.co/papers/2609.35261 https://huggingface.co/papers/2609.35427 https://huggingface.co/papers/2609.35457 https://huggingface.co/papers/2609.35505 https://huggingface.co/papers/2609.35629 https://huggingface.co/papers/2609.35673 https://huggingface.co/papers/2609.35718 https://huggingface.co/papers/2609.35734 https://huggingface.co/papers/2609.35743 https://huggingface.co/papers/2609.35767 https://huggingface.co/papers/2609.36071 https://huggingface.co/papers/2609.36138 https://huggingface.co/papers/2609.36246 https://huggingface.co/papers/2609.36314 https://huggingface.co/papers/2609.36322 https://huggingface.co/papers/2609.36651 https://huggingface.co/papers/2609.37226 https://huggingface.co/papers/2609.37236 https://huggingface.co/papers/2609.37559 https://huggingface.co/papers/2609.37686 https://huggingface.co/papers/2609.37725 https://huggingface.co/papers/2609.37969 https://huggingface.co/papers/2609.38078 https://huggingface.co/papers/2609.38123 https://huggingface.co/papers/2609.38137 https://huggingface.co/papers/2609.38879 https://huggingface.co/papers/2609.39071 https://huggingface.co/papers/2609.39378 https://huggingface.co/papers/2610.00437 https://huggingface.co/papers/2610.00972 https://huggingface.co/papers/2610.01257 https://huggingface.co/papers/2610.01762 https://huggingface.co/papers/2610.01780 https://huggingface.co/papers/2610.01939 https://huggingface.co/papers/2610.02122 https://huggingface.co/papers/2610.02196 https://huggingface.co/papers/2610.02304 https://huggingface.co/papers/2610.02381 https://huggingface.co/papers/2610.02508 https://huggingface.co/papers/2610.02521 https://huggingface.co/papers/2610.03020 https://huggingface.co/papers/2610.03140 https://huggingface.co/papers/2610.03367 https://huggingface.co/papers/2610.03391 https://huggingface.co/papers/2610.03574 https://huggingface.co/papers/2610.03665 https://huggingface.co/showlab/Show-Harness-VLMs https://karpathy.ai/lotr-movie https://labs.cloudsecurityalliance.org/research/csa-research-note-langchain-langgraph-vulnerabilities-202603 https://langchain.com/state-of-agent-engineering https://learnagentic.substack.com/p/every-major-agent-benchmark-just https://lilianweng.github.io/posts/2026-07-04-harness/ https://magazine.sebastianraschka.com/p/ai-detector-from-scratch https://magazine.sebastianraschka.com/p/classifier-history-and-jev https://magazine.sebastianraschka.com/p/claude-watermarking https://magazine.sebastianraschka.com/p/controlling-reasoning-effort-in-llms https://magazine.sebastianraschka.com/p/gpt-6-astra-looped-transformers-and https://magazine.sebastianraschka.com/p/llm-research-papers-2026-part1 https://magazine.sebastianraschka.com/p/using-local-coding-agents https://mindpattern.ai/s/claude-code-2-1-287-ships-claude-mods-and-a-built-in-you-should-know-mod-where-a-side-agent-flag https://morphllm.com/best-ai-coding-agents-2026 https://nathanbenaich.substack.com/p/state-of-ai-may-2026 https://neuraltrust.ai https://news.google.com/rss/articles/CBMiaEFVX3lxTE9HZElZMTI1d1F3R09RWTFKLU1xMXViLW9fRF92bDNFcjZxTzViUHprTmRCOVR5WGJHOWNEdS1IaEZsZjBPRU0ycFB6M1Rpd2h0ZkZwdk1wZWJUdzc5cFB3bG93RWRYQzFI https://news.google.com/rss/articles/CBMib0FVX3lxTE1zV25taFVITFJSbmFtMnJkRnRZMF9MOUdTaUNBSmgwc0czUmFuMEZJZHVrM0t6elFIVVJvQ1dSelJ0a2xHTDhSWnNOcUF6NmVXREFXSm5iMWVoRmJjZUVDMFhoSHRrUkRXMnNmU3Jybw https://news.google.com/rss/articles/CBMic0FVX3lxTE1tdEtSOC1PRVFaSWU5TmlaMEtiZjRMdDdJLWg1bVIyUzlUTUV0UHZVa1Z3Y2JYeVVVLVEyeGZIQnVHR01tdC04X2x5Vk5LNDRKa3VyWnB2Vks0U3JpZDNNemZxczNDOFBNeGxrQnViOFNJQVU https://news.google.com/rss/articles/CBMic0FVX3lxTE1tdEtSOC1PRVFaSWU5TmlaMEtiZjRMdDdJLWg1bVIyUzlUTUV0UHZVa1Z3Y2JYeVVVLVEyeGZIQnVHR01tdC04X2x5Vk5LNDRKa3VyWnB2Vks0U3JpZDNNemZxczNDOFBNeGxrQnViOFNJQVUE https://news.google.com/rss/articles/CBMid0FVX3lxTE5PbzNJUlpWVXZ6VzVsNU13YVBoQUNmTDNEUG83cTFoZk1oU0ZQMFJCWFhqNTFZSGVZWkg3RjBRNktiaXZjd1ZoNTRLM3NpS2V4a3lVUXRJVXFDbXVwRmhfdDlPSy04ZVBzUHB1cHFEUjRtcHVzd0dvN0NYMA https://news.google.com/rss/articles/CBMid0FVX3lxTE5PbzNJUlpWVXZ6VzVsNU13YVBoQUNmTDNEUG83cTFoZk1oU0ZQMFJCWFhqNTFZSGVZWkg3RjBRNktiaXZjd1ZoNTRLM3NpS2V4a3lVUXRJVXFDbXVwRmhfdDlPSy04ZVBzUHB3aHFEUjRtcHVzd0dvN0NYMA https://news.google.com/rss/articles/CBMie0FVX3lxTE1sOGpwSU80bnNqZUI3ZEdjWk9xQkV5Mi1pX09uVzR5QmVrd2R1c0M1UWxMdFRUc0U1RExVbWJ1UldieEh0RU0yaWM3MDNaazRuUFFRQm5VR096VmE1SmJGSVdXZ2hXd3NDbk96OHh6VDc2aE1UMHBlV2RBZw https://news.ycombinator.com/item?id=47910388 https://news.ycombinator.com/item?id=49480466 https://onyx.app/insights/best-llms-for-coding-2026 https://open.substack.com/pub/alexewerlof/p/owasp-top-10-ai-llm-agents https://open.substack.com/pub/bytebytego/p/whats-next-in-ai-five-trends-to-watch https://openai.com/form/codex-originals https://openai.com/index/albertsons-reimagining-retail https://openai.com/index/astra-for-law https://openai.com/index/basis-tax-workbook-with-astra https://openai.com/index/chatham-financial https://openai.com/index/codex-quantum-computing-experiments https://openai.com/index/cooley-gopublic https://openai.com/index/devday-2026 https://openai.com/index/devday-2026-recap https://openai.com/index/gpt-6-astra https://openai.com/index/gpt-6-astra-next-generation-work https://openai.com/index/helping-older-adults-use-ai-in-everyday-life https://openai.com/index/hex-gpt-6-astra https://openai.com/index/how-we-will-do-better-for-australia https://openai.com/index/hugging-face-incident-and-the-road-ahead https://openai.com/index/introducing-chatgpt-images-2-5 https://openai.com/index/lenfest-ai-collaborative-expansion https://openai.com/index/navier-stokes-solution https://openai.com/index/our-decision-on-cursor-following-its-acquisition-by-spacex https://openai.com/index/paul-christiano-joins-openai-foundation-board https://openai.com/index/practical-guide-building-gpt-6 https://openai.com/index/proaction https://openai.com/index/reimagining-advertising-with-ai https://openai.com/index/research-acceleration-view-inside-openai https://openai.com/index/teen-development-research-grants https://openai.com/index/the-den-family-social https://openai.com/index/the-eternal-complement https://openai.com/index/the-work-now-within-reach https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified https://openai.com/news/rss.xml https://openreview.net/forum?id=S2zaYgT7Ic https://phoenix.security/claude-code-leak-to-vulnerability-three-cves-in-claude-code-cli-and-the-chain-that-connects-them https://phoenix.security/critical-ci-cd-nightmare-3-command-injection-flaws-in-claude-code-cli-allow-credential-exfiltration https://platform.claude.com/docs/en/release-notes/overview https://poolside.ai/blog/through-the-looking-glass https://proceedings.iclr.cc/paper_files/paper/2026/file/fd1eff9dd295df50a41f2521942fa31d-Paper-Conference.pdf https://rdworldonline.com/gpt-6-astra-scores-62-7-on-interactive-reasoning-benchmark-near-perfect-with-custom-adapter https://research.google/blog/chain-of-agents-large-language-models-collaborating-on-long-context-tasks https://samcodeman.com/writing/only-28-of-520-agent-runs-completed-a-migration https://showlab.github.io/Show-Harness/ https://simonwillison.net/2026/Aug/28/just-a-rumour-of-a-bug/ https://simonwillison.net/2026/Oct/1/matthew-green/ https://simonwillison.net/2026/Oct/3/default-hard-budget-caps/ https://simonwillison.net/2026/Sep/10/ https://simonwillison.net/2026/Sep/21/jev/ https://simonwillison.net/2026/Sep/28/ https://simonwillison.net/2026/Sep/29/ https://simonwillison.net/2026/Sep/29/anthropic-frontier-red-team/ https://simonwillison.net/2026/Sep/29/hn-49898129/ https://simonwillison.net/2026/Sep/3/gpt6-astra/ https://simonwillison.net/2026/Sep/4/rogue-agent-wikis/ https://simonwillison.net/2026/Sep/5/blender-coding-agents-macos/ https://simonwillison.net/2026/Sep/6/research-acceleration-the-view-inside-openai/ https://simonwillison.net/2026/Sep/8/introducing-chatgpt-images-25/ https://simonwillison.net/2026/Sep/8/on-navier-stokes/ https://simonwillison.net/2026/Sep/9/ https://simonwillison.net/2026/Sep/9/terence-tao/ https://slash-digital.io/en/insights/rag-2026 https://stratechery.com/2026/whos-afraid-of-chinese-models https://swfte.com/ai/leaderboard https://tbr8.org/sglang-vs-vllm-大模型推理引擎架构设计与性能深度对比 https://tech-insider.org/gemini-3-8-flash-cyber-launch-2026 https://techaiwire.com/articles/claude-code-2-1-287-claude-mods-you-should-know https://techcrunch.com/2026/01/21/sources-project-sglang-spins-out-as-radixark-with-400m-valuation-as-inference-market-explodes https://techcrunch.com/2026/02/claude-code-flaws-allow-remote-code.html https://techcrunch.com/2026/02/claude-code-flaws-allow-remote-code.html?m=1 https://techcrunch.com/2026/08/16/stripe-will-reportedly-acquire-ai-gateway-startup-openrouter-for-7b https://techcrunch.com/2026/08/26/openai-releases-its-official-report-on-the-hugging-face-breach https://tessl.io/blog/openai-moves-beyond-swe-bench-verified-as-coding-benchmarks-saturate https://theaiengineer.substack.com/p/the-ai-agents-stack-2026-edition https://theaiengineer.substack.com/p/the-ai-engineers-stack-2026-edition https://theaiengineer.substack.com/p/the-open-source-agent-toolkit-in https://theaiengineer.substack.com/p/why-ai-agents-keep-failing-in-production https://thehackernews.com/2026/02/claude-code-flaws-allow-remote-code.html https://thehackernews.com/2026/02/claude-code-flaws-allow-remote-code.html?m=1 https://theinformation.com/articles/nvidia-agrees-buy-open-source-model-repository-hugging-face-12-9-billion https://thenewstack.io/astra-arc-agi-benchmark https://tianpan.co/blog/2026-04-09-agentic-coding-production-swebench-gap https://tldr.tech/ai/10-01 https://tldr.tech/ai/2026-09-23 https://tldr.tech/ai/2026-09-25 https://tldr.tech/ai/2026-09-28 https://tldr.tech/ai/2026-09-30 https://tldr.tech/ai/2026-10-03 https://veriharness.com https://vllm-project.github.io https://wavect.io/blog/rag-vs-finetune-vs-longcontext-2026 https://wccftech.com/openai-wows-with-the-agi-era-gpt-6-astra https://wccftech.com/openai-wows-with-the-agi-era-gpt-6-astra-with-preliminary-benchmarks-showing-remarkable-performance-gains-as-sam-altman-says-releases-will-now-be-paced-by-safety-considerations-and-not-capabilit https://wccftech.com/openai-wows-with-the-agi-era-gpt-6-astra-with-preliminary-benchmarks-showing-remarkable-performance-gains-as-sglang-radixark-1-billion-dollar-launch https://webcast.cc/po/openai-wows-with-the-agi-era-gpt-6-astra-with-preliminary-benchmarks-showing-remarkable-performance-gains-as-sglang-radixark-1-billion-dollar-launch https://work-queue https://www-cdn.anthropic.com/fc1b44717c85dc068bc6ba5024219938094694bd/Claude%20Opus%205.5%20System%20Card.pdf https://www.activepieces.com/blog/cloudflare-clef-decision-models-for-agentic-workflows https://www.anthropic.com https://www.anthropic.com/claude-fable-and-mythos-5-1 https://www.anthropic.com/claude-sonnet-5-5 https://www.anthropic.com/engineering/Building-a-C-compiler-with-a-team-of-parallel-Claudes https://www.anthropic.com/engineering/Designing-AI-resistant-technical-evaluations https://www.anthropic.com/engineering/Effective-harnesses-for-long-running-agents https://www.anthropic.com/engineering/Quantifying-infrastructure-noise-in-agentic-coding-evals https://www.anthropic.com/engineering/Scaling-Managed-Agents-Decoupling-the-brain-from-the-hands https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents https://www.anthropic.com/engineering/eval-awareness-in-claude-opus-4-6-browsecomp-performance https://www.anthropic.com/engineering/harness-design-long-running-apps https://www.anthropic.com/engineering/how-we-built-claude-code-auto-mode https://www.anthropic.com/news/anthropic-insights https://www.anthropic.com/news/automated-researchers https://www.anthropic.com/news/claude-opus-5 https://www.anthropic.com/news/claude-sonnet-5-5 https://www.anthropic.com/news/claude-sonnet-5-5-system-card https://www.anthropic.com/news/detecting-and-countering-misuse-of-ai-september-2026 https://www.anthropic.com/news/enabling-independent-research https://www.anthropic.com/news/model-hardware-standard https://www.anthropic.com/news/opus-5-5-for-work https://www.anthropic.com/news/project-swap https://www.anthropic.com/research/automated-researchers-mitigate-alignment-failures https://www.bensbites.com/p/50-years-of-tech-devices https://www.bensbites.com/p/back-to-claude https://www.bensbites.com/p/build-your-ideas https://www.bensbites.com/p/everyone-needs-a-muse https://www.bensbites.com/p/fable-51 https://www.bensbites.com/p/good-luck-slowing-this-down https://www.bensbites.com/p/how-i-built-this-21f https://www.bensbites.com/p/how-ii-vs-state-of-ai-2026 https://www.bensbites.com/p/new-home-for-cowork https://www.bensbites.com/p/scraping-107m-rows-of-data-to-build https://www.bensbites.com/p/telling-ai-to-design-is-hard https://www.bensbites.com/p/the-first-gpt-6-model https://www.bensbites.com/p/what-can-you-build-with-jev https://www.cncf.io https://www.deeplearning.ai/the-batch/issue-329 https://www.deeplearning.ai/the-the-institute-329/ https://www.digitalapplied.com/blog/open-decision-models-compared-clef-decider-jev https://www.govinfosecurity.com/openai-cuts-off-cursor-models-after-spacex-acquisition-a-32700 https://www.infosecurity-magazine.com/news/anthropic-openai-report-exploit https://www.interconnects.ai/p/5-useful-things-youll-learn-in-my https://www.interconnects.ai/p/debating-rsi-the-us-china-gap-and https://www.interconnects.ai/p/glm-53-how-chinese-labs-keep-stride https://www.interconnects.ai/p/i-wrote-an-ai-textbook-how-long-until https://www.interconnects.ai/p/latest-open-artifacts-24-motif-3 https://www.interconnects.ai/p/one-resignation-turned-the-embers https://www.interconnects.ai/p/open-source-ai-reading-list https://www.interconnects.ai/p/teaching-everyone-to-fish-for-tokens https://www.interconnects.ai/p/the-current-balance-of-power-in-open https://www.interconnects.ai/p/where-i-stand-on-rsi https://www.linkedin.com/posts/hackerrank_openai-just-killed-swe-bench-verified https://www.linkedin.com/posts/hackerrank_openai-just-killed-swe-bench-verified-the-activity-7432807590759264256-xzhQ https://www.microsoft.com/en-us/research/blog/agent-lightning-v1。 https://www.microsoft.com/en-us/research/blog/broadening-access-to-skala-creates-a-faster-path-to-predictive-dft/ https://www.microsoft.com/en-us/research/blog/gigapath-flash-and-gigatime-flash-toward-population-scale-discovery-with-efficient-pathology-foundation-models/ https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/ https://www.microsoft.com/en-us/research/blog/mindtopo-reveals-vlms-spatial-reasoning-abilities/ https://www.microsoft.com/en-us/research/blog/orchard-an-open-framework-for-scalable-agentic-ai/ https://www.morphllm.com/best-ai-coding-agents-2026 https://www.oneusefulthing.org/p/ https://www.oneusefulthing.org/p/choosing-to-stay-human https://www.oneusefulthing.org/p/co-existence https://www.oneusefulthing.org/p/the-dot-and-the-swarm https://www.opensourceforu.com/2026/08/truefoundry-launches-trueforge https://www.opentrain.ai/papers/...-2608.15763 https://www.opentrain.ai/papers/...-2608.27260 https://www.opentrain.ai/papers/training-agents-to-evolve-with-their-harness https://www.opentrain.ai/papers/training-agents-to-evolve-with-their-harness-taolive-digital-avatar-agent-techni--arxiv-2608.15763 https://www.opentrain.ai/papers/what-makes-good-agentic-data-ace-lens https://www.opentrain.ai/papers/what-makes-good-agentic-data-an-ace-lens-on-data-generation-for-llm-agents--arxiv-2608.27260 https://www.sentinelone.com/vulnerability-database/cve-2026-22561 https://www.techmeme.com/260903/p40 https://www.theaiengineer.com/p/why-ai-agents-keep-failing-in-production https://www.theinformation.com/articles/nvidia-agrees-buy-open-source-model-repository-hugging-face-12-9-billion https://www.theregister.com/ai-and-ml/2026/10/01/cloudflare-tries-to-outplay-jev-with-open-weight-clef-models/5300649 https://www.vellum.ai/blog/claude-sonnet-5-5-benchmarks-explained https://www.youtube.com/watch?v=B3LXEW4Pc-w https://www.youtube.com/watch?v=KL9_1GbmCic https://www.youtube.com/watch?v=L9mMfAFwbl4 https://www.youtube.com/watch?v=LBiNcdGNgrg https://www.youtube.com/watch?v=Spuza-KwTJ4 https://www.youtube.com/watch?v=eVBJIUxv8N8 https://www.youtube.com/watch?v=mWlCituW7wo https://www.youtube.com/watch?v=w9RDunJACkc https://www.youtube.com/watch?v=wzY2fV4Mp3U https://www.youtube.com/watch?v=xGzseSSStnw https://www.zartis.com/rag-in-production-what-nobody-tells-you-until-youre-debugging-it https://x.com/AndrewYNg https://x.com/AndrewYNg/article/2088302050706686198 https://x.com/AndrewYNg/article/2095890279865721217 https://x.com/AnthropicAI/status/1962909472017281518 https://x.com/AnthropicAI/status/2007000000000000000 https://x.com/AnthropicAI/status/2007000000000000001 https://x.com/AnthropicAI/status/2095947707605266436 https://x.com/AnthropicAI/status/2104633259925630991 https://x.com/AnthropicAI/status/2104633259925630995 https://x.com/DrJimFan https://x.com/DrJimFan/status/2066921736369766762 https://x.com/DrJimFan/status/2095696882844463382 https://x.com/GoogleDeepMind/status/2007000000000000002 https://x.com/GoogleDeepMind/status/2007000000000000003 https://x.com/OpenAI/status/2095595741528125780 https://x.com/OpenAI/status/2102460975790137662 https://x.com/emollick https://x.com/emollick/status/2094617053730685054 https://x.com/emollick/status/2095203002210807816 https://x.com/emollick/status/2096645299309625474 https://x.com/emollick/status/2097402304525697507 https://x.com/hwchase17/status/2094985765629628904 https://x.com/karpathy https://x.com/karpathy/status/2098811935114551617 https://x.com/karpathy/status/2098828290152944093 https://x.com/omarsar0/status/2090138030296219973 https://x.com/omarsar0/status/2095175056598966652 https://x.com/omarsar0/status/2095204228687945880 https://x.com/rasbt/status/2079927409835712718 https://x.com/sama/status/2089805495783813196 https://x.com/sama/status/2092339694210040187 https://x.com/sama/status/2093060670472241368 https://x.com/sama/status/2095601442220638547 https://x.com/sama/status/2096008528834244741 https://x.com/sama/status/2103567198690349362 https://x.com/simonw/status/2094938927727804684 https://x.com/ylecun/status/2094929734266179597 https://x.com/ylecun/status/2097069227484025094

7.4 完整 DOI 编号索引(0 件 · 沿用)

(v115 无新增 DOI 项 · 0 件 · missing = 0)

本次变更(本棒位 10-11 10:00 CST · v115 早棒承接棒位 · 第一百一十六棒)

Wave4 E1 第三十二次稳态承接棒(v115 = v114 中棒延伸棒位 10-10 10:00 CST 落定后 24h · 24h 立标空窗续立第 1 日 · 公告密度 10-6→10-11 连续 6 日回升续立):

主要变更 8 件:

① 🟢 综述章节续立 v115 第 1 日 + 立标空窗续立第 1 日 + 立标延革扩增预备稳态第 12 日 + 立标池结构性洗牌第 20 次确认延续期#1 ⚠⚬⚬⚬ = coding-agents 主分类 24h 净增 0 件真新卡续立第 1 日 + frontier lab harness 平台化周更稳态续立(Claude Code 2.1.290/291/292)+ MS Agent Lightning v1.0 沿用稳态 + frontier lab 治理商业生态栖扩增第 3-4 例续立 ⚠⚬⚬;

② 🟢 v115 新增 4 件 coding-agents 邻接级 paper_card net-new = §2.4 第 89-91 栖 + §2.6 第 159-160 例预备级候选 ⚠⚬⚬⚬ = Skill Constellations arXiv:2610.11169 paper_card 1750 第 89 栖(skill 供应链攻击防御基础设施预备级#1 ⚠⚬⚬)+ Opera arXiv:2609.33987 paper_card 1749 第 90 栖(反馈有效性追踪栖位预备#1 ⚠⚬⚬)+ Mara Chain arXiv:2609.35855 paper_card 1752 第 159 例预备(失败作为 stepping stones 反直觉栖位预备#1 ⚠⚬)+ Hebero arXiv:2606.03335 paper_card 1751 第 160 例预备 + 第 91 栖(异构机器人评测方法两条不同范式 = 二范式分立修正 e1prep 合并归为候选判断 ⚠⚬⚬⚬);

③ 🟢 flyp 10-11 09:50 Hebero vs RobotWorld 双范式短审稿 + 6 项反方风险形式化拆解 ⚠⚬⚬⚬ = Hebero 反方 5 项 + RobotWorld 反方 5 项 + 共有行业风险 3 项 = 立标延革预备反方档化预备预备第 1 例(延续p 10-10 1030 ME-World+Robo-COP 双候选反方档同构模式);

④ 🟢 flyp 风险主轴 10-10 16:40 承接稳态(沿用) = Sophos Daybreak 96% IR + Asana Codex GPT-6.1 Sol 76× 落地真事件 + Claude Code 周3更 = frontier lab Agent 安全基础设施化方向第 2 例 ⚠⚬⚬;

⑤ 🟢 立标延革预备承接稳态第 12 日 + 立标池结构性洗牌第 20 次确认延续期#1(v114 立标延立预备 300-302 栖沿用稳态);

⑥ 🟢 flyp 10-10 22:50 ORCAGen RAG-Malware-Deception critical-read 11.6KB 邻接级补充(沿用 v114);

⑦ 🟢 试金石变更:arXiv 459→463 件(4 件净增 · missing = 0)+ URL 907→911 件(4 件净增 · missing = 0)+ §2.4 88→91 栖(3 件 net-new)+ §2.6 158→160 例(2 件 net-new)+ §3.1 370→374 件(4 件 net-new)+ §3.2 158+124→158+126 件反方(2 件 net-new)+ §4 505→510 件(5 件 P1 #506-#510)+ 立标空窗续立#1 + 立标延革扩增预备稳态#12 + 立标池结构性洗牌第 20 次确认延续期#1;

⑧ 🟢 承接稳态精修 = 4 件 fresh URL 净增(Opera + Skill Constellations + Mara Chain + Hebero arxiv abstracts)。

flyP · 2026-10-11 10:00 CST · v115 · 不写密钥。净增量 = 4 arXiv + 4 URL + 4 共识 + 2 反方 + 5 P1 #506-#510 + 立标空窗续立#1 + 立标延革预备扩增承接稳态#12 + 立标池结构性洗牌第 20 次确认延续期#1。missing(old - new) = 0 校验通过(候选 ≤60KB 阈值 · 校验合格)。

边界:本文件仅作为 v115 早棒承接棒位落盘承接备料写入 /shared/research-kb/organized/knowledge/coding-agents.md,不写入他人目录,不 git commit,不写密钥。