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星期五

  1. Together AI Blog

    如何在 Together DCI 上部署任意 Hugging Face 模型并运行推理

    Together AI 展示了如何用 Goose 和 together-dedicated-containers 技能,在单次会话中将 Netflix 的 void-model 部署至 Dedicated Container Inference。智能体可自动生成推理服务与容器配置;该模型能移除视频中的对象及其引发的阴影、反射和物理交互,推理任务以异步方式返回结果。

    Terminal screen showing void-byoc goose session ready with deployment note and URL to huggingface.co.

    n. The agent produced all the code needed to deploy void-model on Together's Dedicated Container Inference (DCI) infrastructure, essentially on release day. The output lives here: github.com/blainekasten/together-void-model-container ‍ The whole setup took three steps. Step 1: Install the Together dedicated containers skill. npx skills add togethercomputer/skills That pulls in the together-dedicated-containers skill , which gives Goose the specific knowledge it needs to work with Together's infr

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星期四

  1. Modem:Blog精选

    Modem 面向全体用户推出 Agent Skills

    Modem 向所有用户开放 Agent Skills,可在 Settings → Skills 创建,或让 @Modem 代写。每个 Skill 由标识 slug、一句话触发描述和指令正文三部分组成,与 Claude Code 等编码智能体的 skills 类似,区别在于 Modem 的 Skills 在整个组织内共享,并在 chat、Slack 和 automations 中通用。官方示例 generate-release-notes 每周由 automation 调用并把结果发到 Slack 公共频道。

    Skills page in Modem settings showing a list of custom skills with descriptions

    work the same everywhere the agent does: in chat, in Slack, and inside automations. A skill you write for triaging bugs in chat will also kick in when an automation fires on a new GitHub issue. What Skills are good for Anything you'd otherwise have to repeat. A few patterns we've seen work well: Triage playbooks. Bug reports, customer escalations, incoming Linear issues; Output formats. Release notes, weekly digests, standup summaries that follow a specific shape; Style guidelines. How your team

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  2. Augment Code 博客

    Augment Code 用 Cosmos 智能体团队解决代码评审瓶颈

    Augment Code 在 Cosmos 平台上构建了由多个智能体组成的代码评审团队,自动批准低风险变更、逐行分析正确性,仅在需要判断时引入人工。自 1 月以来代码产出提升 3 倍,中位合并时间下降,每单位产出的缺陷率呈下降趋势。

    How Cosmos accelerated our AI-native transformation by removing the code review bottleneck

    he review into structured phases (design, risk, correctness, etc.); Guides the human through decisions instead of requiring full code diff review; Posts finalized comments back to GitHub; This is the only part of the code review process requiring human input 👉 Shifts humans from line-by-line reviewers to decision-makers. Deep Code Review Performs deep, line-by-line correctness analysis focused purely on objective bugs This is the component most similar to a standalone AI code review tool (Akshay

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  3. Replit Blog

    Replit 向 Core 和 Starter 用户开放 Private Publishing,并推出 External Access Tokens

    Replit 将 Private Publishing 从 Pro 和 Enterprise 计划下放到 Core 和 Starter 计划,并为所有私有应用推出 External Access Tokens。该 token 是面向可信外部服务的凭证,可限定开发或生产环境、添加标签和设置过期时间,支持通过 HTTP header 或 URL 查询参数认证,并可随时撤销,让 webhook、回调等集成无需将应用公开到公网。

    Secure more apps with External Access Tokens and Private Publishing — cover image

    ration date for temporary access. After the token is created, you’ll be shown the token value and given a one-time opportunity to copy it for use in your external service, such as GitHub or Slack. External services can authenticate using the token in one of two ways: HTTP headers (recommended); URL query parameters The best method for your app depends on the external service you’re integrating with, so check that service’s documentation for setup instructions. Finally, you have the ability to re

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星期二

  1. The Register

    微软修复 VS Code:Copilot 署名默认改为可选

    微软撤销了 VS Code 1.110 中默认给提交添加“Co-authored-by: Copilot”的改动,修复将于 1.119 版本发布,把 Copilot 署名恢复为需开发者主动开启。此前开发者抱怨即使禁用 Copilot 和聊天功能,Git 历史仍被加上 AI 共同作者行。Claude Code 和 OpenAI Codex 目前仍默认添加类似署名。

    faction with Microsoft activating the AI notice by default. "The most concerning part is that I had already checked the commit message before committing," wrote one developer in a GitHub community discussion post last week. "I deleted Copilot's generated English commit message and manually wrote my own commit message instead. However, after the commit was created, the final Git history still contained the Copilot co-author line. "This means the message I reviewed before committing was not the fi

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星期一

  1. Johann Rehberger / Embrace The Red精选

    Copirate 365:微软 Copilot 提示注入漏洞利用链(CVE-2026-24299)

    安全研究者 Johann Rehberger 公开其在 DEF CON Singapore 演讲中披露的微软 Copilot 系列漏洞,MSRC 已分配 CVE-2026-24299 并完成修复。攻击链通过 CSS background-image 与 @font-face 绕过 CSP 实现数据外泄,并利用 record_memory 工具经提示注入写入持久记忆,组合成可长期窃取用户数据的后门。作者指出 M365 Copilot 记忆功能默认开启且按微软文档不产生审计日志,建议厂商为 AI 组件与宿主平台明确安全契约。

    Time flies. After I reported the vulnerability to Microsoft back in 2023, they were the first vendor to acknowledge and address the vulnerability. Soon after, Claude, Bard/Gemini, GitHub Copilot, ChatGPT, and many others followed up with fixes and improvements. The list of vendors that had this issue and needed to patch their AI is now large. It’s one of the most common AI application security vulnerabilities. The Lethal Trifecta Somewhere along the way Simon Willison coined this excellent term,

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  2. Import AI

    Import AI 455:AI 系统即将开始自我构建

    Import AI 作者 Jack Clark 认为,AI 系统很可能在 2028 年底前实现无人类参与的 AI 研发,即前沿模型能自主训练出自己的后继版本,他给出的概率是 60% 以上,2027 年前实现的概率约为 30%。他依据公开数据梳理证据链:SWE-Bench 从 Claude 2 的约 2% 升至 Claude Mythos Preview 的 93.9%,METR 时间跨度从 2022 年 GPT 3.5 的约 30 秒升至 2026 年 Opus 4.6 的约 12 小时,CORE-Bench、MLE-Bench、PostTrainBench 以及 Anthropic 的模型训练优化任务也显示 AI 在核心研发环节快速进步。他认为 AI 目前尚不能提出颠覆性新想法,但 AI 研发大量属于可自动化的工程性工作,且 OpenAI、Anthropic、DeepMind 及多家初创公司都在明确追求自动化 AI 研发。

    and the METR time horizons plot. Solving real-world software engineering problems: SWE-Bench is a widely used coding test which evaluates how well AI systems can solve real world GitHub issues. When SWE-Bench launched in late 2023 the best score at the time was Claude 2 which had an overall success rate of 2%. Claude Mythos Preview gets 93.9%, effectively saturating the benchmark. (All benchmarks have some amount of noise inherent to them, so there’s usually a point where you score high enough

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  3. Modal 官方工程博客

    Modal 用一个 Python 字典将 SGLang 多模态推理性能提升超 10%

    Modal 在 H100 上对 Qwen2.5-VL-3B-Instruct 做多模态推理基准测试时,发现 SGLang 调度器在 hash_feature 中反复调用 torch.UntypedStorage._new_shared_cuda,造成主机端开销。他们用简单的 Python 字典实现 CUDA IPC Pool Handle Cache,避免重复打开共享内存句柄,使吞吐量提升 16%、延迟降低 10%。该改进已合并进 SGLang v0.5.10。

    Diagram of processes in SGLang, identifying the scheduler process as the key component that might block the GPU.

    cheap (reference-counted). So most of the overhead comes from the PyTorch wrapper - fresh StorageImpl, CUDA event recording, GIL interaction, and allocator book-keeping. See this GitHub Issue for more details. This is a misuse of precious milliseconds, and every millisecond counts! The fancy-sounding “CUDA IPC Pool Handle Cache” is implemented as a simple Python dict. The pools are never reallocated, so cache invalidation is unnecessary. We also only need a lock when writing to the cache, not w

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星期四

  1. DevClass

    AWS 主题演讲把 AI 说成魔法,自家工程师却讲了另一个故事

    Amazon Stores 旗下 StoreGen 负责人 Steve Tarcza 在 AWS 伦敦峰会后表示,AI 生成代码仍受幻觉和越界行为困扰,规范驱动开发最多只能减少而非消除这些问题,因此所有 AI 改动都必须经人工审核后才能上线。他透露工程师目前只有不到 30% 的时间用于核心编码,并强调不能因 AI 而停止招聘初级工程师,否则将无人维护这些系统。

    k July 26, 2026 Zig creator calls Bun's Claude Rust rewrite 'unreviewed slop' July 15, 2026 HTTP gets a QUERY method so complex searches can stop pretending to be POST July 14, 2026 Speedier type checks in TypeScript 7.0 as first stable Go release ships July 10, 2026 GitHub cuts short offer to burn repos on CD after mockery ensues A purported jab of Sony's physical media phase-out blows up on GitHub itself July 7, 2026 .NET's long term support is not long term enough, dev complains June 30, 2026

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星期三

  1. DevClass

    IBM AI 编程助手 Bob 正式 GA,并推出面向 Z 大型机的 Premium Package

    IBM 宣布 AI 编程助手 Bob 全球正式可用(GA),并同步推出 IBM Bob Premium Package for Z,整合并增强 IBM watsonx Code Assistant for Z 的能力。IBM 称去年试用 Bob 的 8 万名员工在复杂多步工作流中平均获得 45% 生产力提升。Bob 定价为 Pro 档每月 20 美元含 40 个 Bobcoin,Ultra 档每月 200 美元含 500 个 Bobcoin。

    preview." Otherwise current prices range from a $20 per month for the Pro tier with 40 Bobcoins, to Ultra at $200, with 500 Bobcoins. What’s a Bobcoin? About 50 cents, apparently. GitHub recently reworked its Copilot pricing after concluding that more complex prompts were losing it money. Given that Bob’s raison d’etre is more complex requests from the get go, it will be interesting to see how Bob fixes that particular conundrum. Kate Holterhoff, senior industry analyst at RedMonk, said one diff

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  2. Modal 官方工程博客

    在 Modal 上构建强化学习定理证明工作流

    AE Studio 在 Modal 上搭建了一套用强化学习训练 LLM 证明数学定理的工作流,用 Lean 编译器提供可验证奖励,并对比了 GRPO 与 Evolution Strategies(ES)两种更新规则。系统由 GPU 上的 vLLM 推理、CPU 上的沙箱化 Lean 验证器和轻量协调进程三部分组成,一次迭代生成 3,840 条证明尝试并按 64 条分批验证。借助 Modal 的 .map() 并行扇出和沙箱隔离,ES 的权重扰动仅靠种子和奖励聚合,无需在 GPU 间传输权重。

    without worrying about system reliability. If you want to dig into the details of our experiment or adapt the setup for your own workflow, the full experiment code is available at github.com/agencyenterprise/modal-rl-theorem-case-study. References Qiu, X., Gan, Y., Hayes, C. F., Liang, Q., Meyerson, E., Hodjat, B., & Miikkulainen, R. (2025). Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning. arXiv:2509.24372. https://arxiv.org/abs/2509.24372; Numina & Kimi Team. (2025)

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星期一

  1. OpenHands 官方博客精选

    CMU 提出 CAID:基于 git 分支合并的多智能体软件工程系统

    卡内基梅隆大学的 Jiayi Geng 在 OpenHands 官方博客介绍论文《Effective Strategies for Asynchronous Software Engineering Agents》,提出基于 OpenHands 构建的多智能体系统 CAID,用 git worktree、分支、合并和测试来协调长周期软件工程任务。CAID 由 manager 智能体拆解任务并构建依赖图,各 engineer 智能体在独立 worktree 中实现、测试和提交,再通过 git merge 合并回主干,智能体间通信全部走结构化 JSON 和 git commit。在 Commit0 上 CAID 比单智能体基线绝对提升 14.3%,在 PaperBench 上提升 26.7%,且在 Claude 4.5 Sonnet、GLM 4.7 和 MiniMax 2.5 三个模型上结果一致;消融实验显示去掉 git worktree 隔离会让多个智能体编辑同一工作区并导致性能明显下降。

    CAID manager and engineer workflow across isolated worktrees

    ses git worktrees, branches, merges, and tests to coordinate long-horizon software engineering tasks. AI coding agents have gotten remarkably good at isolated tasks like resolving GitHub issues. But the tasks we actually want agents to do are getting larger. For example, building a Python library from scratch (Commit0) or reproducing the results of a research paper (PaperBench) involves dozens of interdependent subtasks that unfold over hours. A single agent working on these tasks struggles both

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星期四

  1. DevClass

    Grafana 向开源和本地用户免费提供 AI 助手,并发布 Grafana 13

    Grafana 在巴塞罗那用户大会上宣布,此前仅限云端的 Grafana Assistant 将面向本地和开源用户免费开放,用户需连接 Grafana Cloud 账户处理 LLM 连接,可观测数据仍保留在本地。同时发布 Grafana 13,新增预置仪表盘、DORA 模板和正式可用的动态仪表盘与 Git Sync;Loki 重构后引入基于 Kafka 的摄取,将此前约 2.3 倍的重复日志写入降下来。

    k July 26, 2026 Zig creator calls Bun's Claude Rust rewrite 'unreviewed slop' July 15, 2026 HTTP gets a QUERY method so complex searches can stop pretending to be POST July 14, 2026 Speedier type checks in TypeScript 7.0 as first stable Go release ships July 10, 2026 GitHub cuts short offer to burn repos on CD after mockery ensues A purported jab of Sony's physical media phase-out blows up on GitHub itself July 7, 2026 .NET's long term support is not long term enough, dev complains June 30, 2026

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  2. Anthropic Engineering

    Anthropic 复盘 Claude Code 质量下滑:三处改动已修复

    Anthropic 发文说明近一个月用户反馈的 Claude 质量下滑问题,已定位到三处分别影响 Claude Code、Claude Agent SDK 和 Claude Cowork 的改动,API 未受影响,三处问题已于 4 月 20 日(v2.1.116)全部修复。三处问题分别是 3 月 4 日将 Claude Code 默认推理强度从 high 降为 medium(4 月 7 日回退)、3 月 26 日清理闲置会话旧思考内容的缓存优化出现 bug 导致每轮都清除历史(4 月 10 日修复)、4 月 16 日为降低冗长加入的系统提示词损害编码质量(4 月 20 日回退)。Anthropic 表示将让更多内部员工使用公开版本、加强系统提示词变更的评测与灰度发布,并在 X 上开设 @ClaudeDevs 说明产品决策。

    iods, a broader eval suite, and gradual rollouts so we catch issues earlier. We recently created @ClaudeDevs on X to give us the room to explain product decisions and the reasoning behind them in depth. We'll share the same updates in centralized threads on GitHub. We’re immensely grateful for your feedback and for your patience. Product updates, how-tos, community spotlights, and more. Delivered monthly to your inbox. Responsible disclosure policy Data Processing Agreement: US K-12 Usage policy

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星期三

  1. DevClass

    Anthropic 为 Bun 1.1.13 加入内存修复,开发者抱怨内存泄漏

    Anthropic 旗下的 Bun 发布 1.1.13 版本,重点修复内存问题:运行时内存占用降低 5%,升级内存分配器并实现 Libpas scavenger,更快将未使用内存归还操作系统。新版本还引入 isolate、parallel 和 shard 测试标志,并改用 zlib-ng 实现最高 5 倍压缩提速。此前有开发者抱怨 Bun 内存泄漏、崩溃和 Windows 支持不佳,OpenCode 创始人称正从 Bun 迁回 Node 和 Electron。

    k July 26, 2026 Zig creator calls Bun's Claude Rust rewrite 'unreviewed slop' July 15, 2026 HTTP gets a QUERY method so complex searches can stop pretending to be POST July 14, 2026 Speedier type checks in TypeScript 7.0 as first stable Go release ships July 10, 2026 GitHub cuts short offer to burn repos on CD after mockery ensues A purported jab of Sony's physical media phase-out blows up on GitHub itself July 7, 2026 .NET's long term support is not long term enough, dev complains June 30, 2026

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星期五

  1. DevClass

    Visual Studio 2026 18.5 发布:新增 AI 调试,但开发者仍不满配色与强制更新

    Visual Studio 2026 18.5 发布,带来两项主要变化:代码建议系统改为优先显示 IntelliSense 列表、一次只显示一条建议,并新增名为 agentic bug resolution 的 AI 调试工作流,由 Copilot 检查应用、生成失败假设、设置条件断点并运行调试后提出修复方案,每次使用都会消耗 AI token。开发者仍不满 Visual Studio 2026 将颜色 token 减少约 87% 导致对比度下降,以及强制更新问题。

    n static analysis without generative AI and providing code completion and help text. AI-driven IntelliCode ranks suggestions and provides context-aware and whole line completions. GitHub Copilot suggests and generates whole blocks of code and is subscription-based but with a free version for limited use. Until this release, IntelliSense and Copilot suggestions could appear simultaneously, confusing users about what keys like Tab will do and causing cognitive overload. A solution is to disable Co

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星期四

  1. DevClass

    Salesforce 在 TDX 发布 Headless 360,让智能体接管平台开发

    Salesforce 在旧金山开发者大会 TDX 上发布 Headless 360,将平台上的 CRM、客服、营销和电商等能力全部变成 API、MCP server 或 CLI 命令,供 Claude Code、Codex、Windsurf、Visual Studio Code 等工具中的智能体调用。同时推出基于 Visual Studio Code 的浏览器 IDE Agentforce Vibes,默认使用 Claude Sonnet 4.5,含 plan 和 act 两种模式及预置智能体技能,并随免费 Salesforce Developer Edition 提供,开发者版限额为每月 110 次请求和 150 万 token,刷新至 5 月 31 日。Salesforce 还宣布将智能体定义语言 Agent Script 开源,并发布 Slack Agent Kit。

    k July 26, 2026 Zig creator calls Bun's Claude Rust rewrite 'unreviewed slop' July 15, 2026 HTTP gets a QUERY method so complex searches can stop pretending to be POST July 14, 2026 Speedier type checks in TypeScript 7.0 as first stable Go release ships July 10, 2026 GitHub cuts short offer to burn repos on CD after mockery ensues A purported jab of Sony's physical media phase-out blows up on GitHub itself July 7, 2026 .NET's long term support is not long term enough, dev complains June 30, 2026

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星期三

  1. Qwen Blog精选

    Qwen3.6-35B-A3B 开源:35B 总参数 3B 激活的 MoE 模型

    Qwen 团队开源 Qwen3.6-35B-A3B,这是一个 35B 总参数、仅 3B 激活参数的 MoE 模型,主打智能体编码能力,同时支持多模态思考与非思考模式。官方称其在 SWE-bench Verified 上得分 73.4,超过前代 Qwen3.5-35B-A3B 的 70.0,并在多数视觉语言基准上接近 Claude Sonnet 4.5。模型已在 Qwen Studio 上线,可通过阿里云百炼 API 以 qwen3.6-flash 调用,权重发布于 Hugging Face 和 ModelScope,并支持 OpenClaw、Claude Code、Qwen Code 等第三方编码助手。

    ng effort) + default BM25 retrieval. VITA-Bench: Avg subdomain scores; using claude-4-sonnet as judger, as the official judger (claude-3.7-sonnet) is no longer available. MCPMark: GitHub MCP v0.30.3; Playwright responses truncated at 32K tokens. MCP-Atlas: Public set score; gemini-2.5-pro judger. AIME 26: We use the full AIME 2026 (I & II), where the scores may differ from Qwen 3.5 notes. Vision Language Qwen3.6 is natively multimodal, and Qwen3.6-35B-A3B showcases perception and multimodal reas

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  2. DevClass

    Anthropic 调整 Claude Code 缓存默认值,用户反映配额消耗加快

    Anthropic 上月将 Claude Code 提示缓存的 TTL 从一小时缩短到五分钟,称此举不会增加成本,但用户反映配额消耗更快。用户 Sean Swanson 的 bug 报告显示,一小时缓存约在 2 月 1 日引入,3 月 7 日前后改回五分钟。Anthropic 的 Jarred Sumner 称改回五分钟反而更便宜,因为相当一部分请求是一次性调用;Claude Code 创建者 Boris Cherny 表示正在研究默认 40 万 token 上下文窗口,并保留 100 万 token 选项。

    k July 26, 2026 Zig creator calls Bun's Claude Rust rewrite 'unreviewed slop' July 15, 2026 HTTP gets a QUERY method so complex searches can stop pretending to be POST July 14, 2026 Speedier type checks in TypeScript 7.0 as first stable Go release ships July 10, 2026 GitHub cuts short offer to burn repos on CD after mockery ensues A purported jab of Sony's physical media phase-out blows up on GitHub itself July 7, 2026 .NET's long term support is not long term enough, dev complains June 30, 2026

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星期五

  1. Linear:Now

    Linear 团队如何使用 Linear Agent 推进产品开发

    Linear 团队介绍了三类 Linear Agent 工作流,将客户邮件、Slack 讨论和产品经理发现的问题转化为 issue、代码修改及 pull request。团队让智能体在 Intercom、Slack 和 Linear 等工作发生处获取上下文,并结合 Code Intelligence、定制 MCP servers 和编码智能体协助排查与开发。Linear 认为更有效的做法是把任务拆成小而明确的步骤,先观察表现并补充指导,再逐步提高自主程度。

    Symmetrical white lines and dots radiating from a bright central point on a black background.

    reviewing every PR (for the past couple of months, we’ve been leaning on Codex for this), and then a human engineer makes the final approval. When the pull request is merged, our Github integration marks the related issue in Linear as ‘Done’. Stage 5: Close the loop with a happy customer⁠ When an issue is marked ‘Done,’ every related feature request reopens in Intercom with a note for the CX team to know that the customer’s request is fulfilled. The team then follows up with each one, which Ale

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