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#Cursor

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9/22Tue
9/21Mon
9/19Sat
9/18Fri
9/17Thu
  3. Cursor Forum · Guides71

    用分层 .cursorrules 防止 Cursor Composer 跨会话重启后忽略架构规则

    作者认为 Cursor Composer 在新会话或长对话后违反架构规则，原因是上下文窗口淘汰和扁平化提示词衰减，而非模型变笨。他给出的做法是把 .cursorrules 写成带身份指令、技术栈、负面约束、输出前检查清单和恢复指令的分层结构，并在多目录仓库中按 backend/、frontend/ 拆分作用域规则，让就近目录的规则获得更高权重。

    Awaiting translation

9/15Tue
  1. Lovable · Blog64

    Lovable open-sources OJ, a Rust preview engine that beats Vite on cold start and memory

    Lovable has released OJ, a preview engine written from scratch in Rust. It reads your existing vite.config.ts and runs real Vite plugins through a compatibility layer, all in a single binary, with no toolchain installed into the project.

    Why it matters: Lovable rewrote its preview engine OJ in Rust, sharing cold start and memory comparisons against Vite, plus canary data from production.

  2. Cline · Blog62

    Cline releases the open-source desktop app Cline Desktop, aimed at open-weight models.

    Cline has released an early version of its open-source desktop app, Cline Desktop, moving the agent runtime that previously lived in the VS Code extension and CLI into a standalone workspace. It supports parallel sessions, scheduled tasks, and a Marketplace for extending tools and integrations.

    Why it matters: The official release lays out the desktop app's capabilities and open entry points, so readers can judge whether it fits their multi-agent parallel workloads.

9/12Sat
9/11Fri
  1. GitHub Blog · Copilot30

    GitHub Copilot 应用新手指南：使用 diff、终端和浏览器面板

    GitHub Copilot 应用内置 diff、终端和浏览器三个面板，让开发者无需在编辑器、终端和浏览器之间切换即可完成 AI 编码闭环。diff 面板用绿色和红色高亮显示代码的新增、删除和修改，支持接受更改、留下评论或让 Copilot 继续修改；终端面板可直接运行项目命令并支持多窗口切换；浏览器面板则能预览界面并用 Pick & Polish 工具选中元素让智能体调整。

    Awaiting translation

9/10Thu
  1. Habr · Cursor36

    当 AI 编程智能体让复杂度消失，程序员还需要对抗复杂度吗？

    一位资深 Python 开发者称，团队被强制推行 vibe coding 后，Cursor 仅凭一句“前端列表加载到某处后后端开始返回 500”的描述，就定位出 MongoDB 中 projection 在 lookup 和 match 之后执行导致内存耗尽、报出 Sort exceeded memory limit，而他自认无 AI 至少要花两小时到两天。

    Awaiting translation

  2. Habr · Cursor48

    用 AI 替代初级开发者为什么行不通：招聘市场与 tiny teams 的五个漏洞

    俄罗斯 IT 招聘市场自 2024 年 10 月起岗位数再次下滑，去年夏天简历数首次超过岗位数，Python 岗位竞争达 20 人抢一个位置。H3LLO Cloud 的实践显示，30 人以下团队借助 AI 可搭建完整云平台，但前提是懂得何时该用、何时不该用 LLM，且没有 token 使用量 KPI。

    Awaiting translation

  3. Cursor · Changelog76

    Cursor launches “Projects,” a feature that uses a coordinating agent to take on long-running development work

    Cursor introduces “Projects,” a feature built for long-running work like a single feature, a migration, or an entire application. It keeps context over months and delegates tasks to thousands of sub-agents. Projects are powered by cloud agents: the coordinating agent doesn’t write code, it only plans, assigns work, and hands back results, spinning up local agents when on-device testing is needed. Each project keeps a set of files synced between the cloud and local machines, steadily accumulating research findings, artifacts, and knowledge of the codebase.

    Why it matters: The official docs lay out the context-sharing and auto-triggering mechanisms for project-based multi-agent collaboration, which you can use to judge how long-running tasks get taken over.

9/9Wed
  2. V2EX · Codex60

    作者分享 Codex 的 /goal 进度条插件

    作者分享了自己一直在用的 Codex 插件，以 MCP 加 Skill 的形式植入，通过 CDP 把进度结果显示在 Codex 的 Goal 界面。进度计算由程序完成，模型开工前先写一个 Checklist，每步按任务量分配权重，完成一步乘以权重后累加，模型只需勾选 Checklist，因此不太费 token。

    Awaiting translation

  4. Habr · Cursor87

    Turning the Cursor Agent into a Team Member: Hooks, Safe Lists, and a Telegram Bot

    A six-person mobile team used Cursor’s hooks, safe lists, and a Telegram bot to turn project conventions from prompts into runtime enforcement.

    Why it matters: The author wires Cursor’s hooks, safe lists, and a Telegram bot into a reusable team collaboration setup, so readers can judge which constraints belong in runtime enforcement rather than in prompts.

9/8Tue
  2. Habr · Cursor82

    How Cursor engineers merge 800+ PRs a month: using validation skills and evals to build trust in AI agents

    Cursor engineer Lauren Tan shares how she gets AI agents to submit and merge PRs on their own: the key is validation—letting the agent run code, capture CPU traces, and open an iOS simulator to check its own work.

    Why it matters: Cursor engineers break trust in AI agents down into reusable validation skills, feature maps, and evals, so readers can build their own automated validation workflows.

9/7Mon
  3. Vibe Code Textbook · Articles80

    编码智能体安全：提示词注入、MCP 服务器与配置中的密钥

    文章梳理了攻击者进入编码智能体工具的三条路径，即工具返回的文本、接入的 MCP 服务器和配置中的密钥，并对照 Claude Code、Codex CLI、Gemini CLI 文档在 2026-09-07 各自承诺的控制措施。

    Awaiting translation

    Why it matters: 文章梳理了编码智能体三条攻击路径，并给出一个只读配置的 Python 审计脚本，可直接用于 CI 检查。

9/5Sat
  5. Vibe Code Textbook · Articles71

    让智能体先写测试：为什么测试必须先失败再通过

    文章主张让 AI 智能体在写实现前先展示一次失败的测试，因为一次都没红过的测试无法证明它能检测任何行为。作者引用 AgentLens 论文（arXiv:2605.12925）对 2,614 条 OpenHands 轨迹的评测，发现通过轨迹中有 10.7% 属于 Lucky Pass，各模型的幸运通过率在 0.5% 到 23.2% 之间。

    Awaiting translation

9/4Fri
  1. Cursor Forum · Guides34

    关闭 Cursor 内置 Bugbot 与安全扫描自动化，解决 Agent「Taking longer than expected」卡顿

    有用户反馈，在 Cursor 的 Automations → From Cursor 中关闭内置的 Bugbot 代码审查和安全漏洞扫描两项自动化后，Agent/Composer 的「Taking longer than expected」提示不再出现，速度明显恢复。该用户推测这些常驻云端智能体与本地 Agent 争抢同一账号的云端容量，导致对话等待变长。遇到同类卡顿可尝试临时关闭这两项自动化。

    Awaiting translation

9/3Thu
  1. Cline · Blog74

    Cline 如何把 1100 万用户迁移到最大一次 harness 升级

    Cline 把 VS Code 扩展从约 76,000 行单体核心迁移到 Cline SDK，并自建灰度发布机制：一个安装包内打包 loader、legacy 和 next 两套扩展，由 PostHog 功能开关按百分比决定激活哪套，崩溃时自动回退到 legacy，开关可随时降到 0% 作为 kill switch。

    Awaiting translation

    Why it matters: Cline 官方复盘如何把 1100 万用户的 VS Code 扩展迁到新 harness，含灰度机制与前后指标对比。

9/2Wed
  1. Cursor · Changelog66

    Cursor launches self-hosted machines, keeping tool execution within your own network

    Cursor supports self-hosted machines: code repositories, build artifacts, and secrets all stay on internal machines within your own infrastructure, and the agent handles tool calls locally. My Machines connects a single laptop or VM to a personal workflow, while Team Pools are named worker queues for teams or enterprises—scaling capacity up with requests and down when workers disconnect. Pools aren't tied to code repositories, and idle machines can sleep and then resume within a reconnection window.

    Why it matters: The official docs lay out pooled scheduling and sandbox integration for self-hosted machines, so readers can judge whether tool execution can stay within their own network.

9/1Tue
  1. Lovable · Blog38

    Lovable 接入 Fable 5.1：迭代修复最高提升 17%，成本降低 31%

    Lovable 现已接入 Fable 5.1，早期测试显示其在修复和改进现有应用上比 Fable 5 最高提升 17%，单任务成本最多降低 31%。该模型在中等和高推理强度下的 UI 与视觉设计质量最高提升 3.5%，并会在完成任务前打开浏览器运行应用进行自我验证。Lovable 正将卡住的会话以及更长、更复杂的任务路由到 Fable 5.1。

    Awaiting translation