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AI 写代码的一切:编码助手、Vibe Coding、代码模型评测与开发工作流变革。

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426条精选相关主题Agent 智能体Cursor教程实践

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5月28日周四
  1. @swyx74

    swyx 评论 Cognition 的融资,称其已是全球最大的独立智能体实验室,并建议读者用图表中 200% 的用量指标推算其销售增长。他列举了模型多样性、云开发基础设施、代码审查与安全、GTM 等优势,认为这是 Peter Thiel 最大的 AI 押注。

    引用Cognition (@cognition)@cognition

    1/ We’ve raised over $1B at a $26B valuation, led by @Lux_Capital, @generalcatalyst, and @8vc. Our enterprise usage has grown >10x since the start of this year, and our run-rate revenue grew to $492 M. We launched Devin two years ago as the first AI software engineer. Since then, cloud agents have gone from niche to mainstream, and today they are the fastest growing way to create software.

    推荐理由:作者从模型多样性、GTM 与企业级验证等角度拆解 Cognition 的护城河,可结合其融资数据理解这轮投资逻辑。

5月27日周三
  1. Claude Blog76

    Anthropic 分享用 LLM 保障源码安全的六步流程

    Anthropic 发布指南,介绍如何用 Claude Opus 通过威胁建模、沙箱、发现、验证、分诊、修补六个步骤查找并修复源码漏洞。文中称截至 2026 年 5 月 22 日其开源软件扫描已披露 1596 个漏洞,其中 97 个已修补,瓶颈已从发现转向验证、分诊与修补。

    推荐理由:文章把漏洞发现到修补拆成六步方法并附可复用 skill 与仓库,瓶颈已转向验证与修补。

5月26日周二
  1. @vista868

    作者指出只安装 Skill 还不够,为更好触发和应用,需要把 Skill 写入 Agent.md,并给出安装更新 Waza 的提示词,要求以后各种开发设计优先使用这套 skill。转引内容显示 Waza 支持 Claude Code、Codex、Cursor 和 Pi 作为 agent 运行时,包含 8 个 skill,无框架、无遥测。

    引用Tw93 (@HiTw93)@HiTw93

    🥷 Engineering habits you already know, turned into skills AI agents can run. Waza absorbed a mass of real project lessons recently. Now just as sharp for Mac native apps, CLI tools, and Rust as it is for web. Supports Claude Code, Codex, Cursor, and Pi as agent runtimes. Reviews your CLI like a shipped product. Debugs "works in source tree, breaks after install." Sweeps sibling instances after every fix. Blocks "fixed" until runtime evidence is verified. 25 anti-patterns, destructive command safety, treats fetched content as untrusted data. 8 skills, no framework, no telemetry. Your superpower prompt collection can be uninstalled. Too heavy. github.com/tw93/Waza

    推荐理由:原文给出把 Skill 写入 Agent.md 的提示词写法,读者可据此改善技能触发与应用效果。

5月25日周一
  1. @kimmonismus65

    代号 TrapDoor 的供应链攻击同时针对 npm、PyPI 和 Crates.io,投递 34 个恶意包,目标是加密货币、AI 和安全开发者,用于窃取钱包、SSH 密钥和云凭证。

    引用Socket (@SocketSecurity)@SocketSecurity

    More analysis, package details, IOCs, and GitHub-related activity here, including attacker-hosted payload/config infrastructure and PRs attempting to add .cursorrules / CLAUDE.md files to popular AI and developer projects: socket.dev/blog/trapdoor-cry…

    推荐理由:该攻击把 CLAUDE.md 与 .cursorrules 配置文件当作新入口,让安全从业者了解 AI 编程助手被利用的攻击路径。

5月22日周五
  1. Mistral AI69

    Mistral 发布 Mistral Medium 3.5 并在 Vibe 和 Le Chat 推出云端远程智能体

    Mistral 发布 Mistral Medium 3.5,一个 128B 稠密开源权重模型(modified MIT 许可),256k 上下文窗口,SWE-Bench Verified 得分 77.6%,τ³-Telecom 得分 91.4,自托管最少只需四块 GPU,API 定价每百万输入 token $1.5、输出 token $7.5。

    推荐理由:官方同步发布模型与云端异步智能体,给出基准分数、定价和开源权重,可对照评估其编码与长程任务能力。

  2. @swyx69

    OpenAI 的 Codex goal mode 从实验功能转为正式功能,用户可在 Codex app、IDE 扩展或 CLI 中设定一个具体里程碑,Codex 会持续工作直到达成,跨越数小时甚至数天。过程中可以查看并引导进度,也可以暂停 Codex,还能开启侧边对话了解已完成的工作而不打断主任务。swyx 就此评论说,现在可以在目标执行中途暂停和调整。

    引用OpenAI Developers (@OpenAIDevs)@OpenAIDevs

    🥅 /goal has graduated from an experiment—for tasks big and small, Codex gets your work done. Use goal mode in the Codex app, IDE Extension, or CLI to give Codex a specific milestone, and it will keep working until it gets there, even across hours or days. You can check in and steer, and even pause Codex along the way. Pro tip: start side chats to understand the work that has been done so far without having to interrupt the main task. developers.openai.com/codex/… Video

    推荐理由:原文说明 Codex 的 goal mode 已从实验转为正式功能,读者可了解它如何支撑跨小时到数天的长任务。

  3. @op741870

    Codex 应用发布更新,新增快捷截图添加上下文、/goal 与内置浏览器高级注释等功能。在 Mac 上同时按住左右 Command 键,可将当前窗口截图连同屏幕外的文本一并填入输入框,该功能覆盖各订阅方案,企业版即将支持。

    引用OpenAI Developers (@OpenAIDevs)@OpenAIDevs

    It’s Codex Thursday, and yes, we have updates for you. First up: Appshots, a new way to bring the context of what you’re working on into Codex. On your Mac, press Command-Command to attach your app window to a Codex thread. Codex gets both a screenshot and text from the window, including content beyond what’s visible onscreen. Appshots are available across plans on Mac, with enterprise access coming soon. Video

    推荐理由:介绍了快捷截图、/goal 与浏览器注释等更新的实际用法,可据此了解 Codex 工作流的变化。

  4. @dkundel69

    OpenAI 开发者账号宣布 Codex 的 /goal 模式结束实验正式转正,可在 Codex 应用、IDE 扩展或 CLI 中给 Codex 指定一个里程碑,它就会持续工作直到达成,即使跨越数小时甚至数天,期间可以查看、引导甚至暂停,还能开侧边对话了解进度而不打断主任务。作者提醒在 Codex 应用中可能需要先运行 `codex features enable goals` 并重启应用,官方将很快推出默认启用该功能的修复。

    引用OpenAI Developers (@OpenAIDevs)@OpenAIDevs

    🥅 /goal has graduated from an experiment—for tasks big and small, Codex gets your work done. Use goal mode in the Codex app, IDE Extension, or CLI to give Codex a specific milestone, and it will keep working until it gets there, even across hours or days. You can check in and steer, and even pause Codex along the way. Pro tip: start side chats to understand the work that has been done so far without having to interrupt the main task. developers.openai.com/codex/… Video

    推荐理由:Codex 的 goal 模式从实验转为正式功能,任务可跨小时或跨天持续推进,并附有启用命令。

  5. @OpenAIDevs69

    OpenAI 宣布 Codex 的 /goal 已从实验功能转正,goal mode 现可在 Codex app、IDE Extension 或 CLI 中使用。用户给出一个具体里程碑后,Codex 会持续工作直到完成,甚至跨越数小时或数天;过程中可以随时查看并引导,也可以中途暂停 Codex。官方提示可用 side chats 了解已完成的工作,而不必打断主任务,说明链接为 developers.openai.com/codex/prompting#goal-mode。

    推荐理由:goal mode 由实验功能转为正式可用,读者可据此了解 Codex 在跨小时任务上的执行与介入方式。

  6. @alibaba_cloud73

    阿里云 Qwen3.7-Max 已在 OpenRouter 上线。OpenRouter 称其为 Qwen3.7 系列旗舰,面向以智能体为核心的工作,涵盖编码、办公与生产力任务以及长程自主执行,在编码和智能体基准上较 Qwen3.6 有明显提升,并支持显式 prompt caching。

    引用OpenRouter (@OpenRouter)@OpenRouter

    The new Qwen3.7-Max from @Alibaba_Qwen is live on OpenRouter. The flagship of the Qwen3.7 series, built for agent-centric work: coding, office and productivity tasks, and long-horizon autonomous execution. Big jumps in coding and agent benchmarks over Qwen3.6, with explicit prompt caching for repeated context.

    推荐理由:Qwen3.7-Max 已在 OpenRouter 上线,面向编码与办公的智能体场景,读者可了解这一旗舰版本的定位。

  7. @AYi_AInotes68

    Claude Code 上线 /usage 命令,可按 Skill、子代理、MCP 和插件拆分 token 消耗,并支持按天或周筛选历史数据。作者实测发现 babysit 子代理占 13%、一个 testmcp 占 11%,此前并不知晓二者在后台运行。

    引用Boris Cherny (@bcherny)@bcherny

    In the next version of Claude Code: run /usage to see a breakdown of which Skills, Agents, MCPs, and Plugins are using your tokens CLI today, coming to Desktop next

    推荐理由:作者贴出自己的用量数据,说明 /usage 能把 token 消耗归因到具体子代理和 MCP,读者可据此排查隐性开销。

  8. @OpenRouter69

    阿里发布最新旗舰模型 Qwen3.7-Max,定位为面向 Agent 场景的基础模型。官方称其可完成前端原型、多文件重构与调试等端到端编码任务,通过 MCP 集成和多智能体编排充当办公助手,并曾在内核优化任务上连续运行 35 小时、完成 1000+ 次工具调用。模型支持 Claude Code、OpenClaw、Qwen Code 等不同脚手架,API 已在 Alibaba Model Studio 上线,也可在 Qwen Studio 试用。

    引用Qwen (@Alibaba_Qwen)@Alibaba_Qwen

    📣Meet Qwen3.7-Max — our latest flagship, made for the Agent Era. A versatile foundation for agents that actually get things done: 🧑‍💻 Coding agent, end to end. Frontend prototypes, multi-file refactors, real debugging — nails it. 🗂️ A reliable office and productivity assistant. Get your work done through MCP integrations and multi-agent orchestration. ⏱️ Long-horizon autonomy. 35 hours straight on a kernel optimization task — 1,000+ tool calls, zero hand-holding. 🔌 Scaffold-agnostic. Claude Code, OpenClaw, Qwen Code, or your own stack. Consistent reliability everywhere. API's up on Alibaba Model Studio. You can also take it for a spin on Qwen Studio. Go build something wild!🏃🏃‍♂️ 📖 Blog: qwen.ai/blog?id=qwen3.7 ✅ Qwen Studio: chat.qwen.ai/?models=qwen3.7… ⚡️ API:modelstudio.console.alibabac…

    推荐理由:原文列出端到端编码、MCP 集成与长时间自主运行等能力,可用以判断该旗舰模型在 Agent 场景中的定位。

5月21日周四
  1. @kimmonismus69

    Cursor 发布 Composer 2.5,在 Artificial Analysis 编码智能体指数上得分 62,比上一代 Composer 2 提升 14 分,位列第三,仅次于 Claude Opus 4.7(max)的 66 分和 GPT-5.5(xhigh)的 65 分。标准版每任务成本 0.07 美元、Fast 版 0.44 美元,而上述两款更高分模型分别约为 4.10 和 4.82 美元。该模型仅在 Cursor IDE 和 Cursor CLI 提供,无外部 API,基于 Kimi K2.5 继续训练;推文作者认为性能略好却贵 60 倍已不再划算。

    引用Artificial Analysis (@ArtificialAnlys)@ArtificialAnlys

    Cursor's new Composer 2.5 takes third on the Artificial Analysis Coding Agent Index and is ~10-60x lower cost than the higher-effort Opus 4.7 and GPT-5.5 variants above it. This release puts Composer among the leading coding agent models, something that wasn’t clear for past releases @cursor_ai has released Composer 2.5, the latest model in its Composer line. Composer 2.5 scored 62 on our Coding Agent Index, a 14 point gain over Composer 2 (48). This puts it in third place of our tested agents, behind only Claude Opus 4.7 (max) in Claude Code (66) and GPT-5.5 (xhigh reasoning) in Codex (65). These cost $4.10 and $4.82 per task respectively, ~10x the cost of Composer 2.5 Fast ($0.44) and ~60x the cost of Composer 2.5 standard ($0.07). Key results for Composer 2.5 in Cursor CLI: ➤ Cost-quality Pareto frontier: At $0.07 (standard) and $0.44 (Fast) per task, Composer 2.5 is cheaper than every other agent scoring above 60 on the Index. Medium-effort peers cost $1.24–$2.21 per task; higher-effort variants land 3-4 points above at $4.10–$4.82 ➤ Per-benchmark gains vs Composer 2: +35 points on SWE-Bench-Pro-Hard-AA (12% → 47%), +2 points on Terminal-Bench v2 (64% → 66%), and +3 points on SWE-Atlas-QnA (69% → 72%). At 47%, Composer 2.5's score on SWE-Bench-Pro-Hard-AA is comparable to Claude Opus 4.7 (max) in Claude Code ➤ Among the fastest coding agents: Composer 2.5 Fast runs at an average wall time of 6.7 minutes per task, the third-fastest agent on the Artificial Analysis Coding Agent Index, behind only Claude Opus 4.7 (medium) in Claude Code (5.8m) and GPT-5.5 (medium) in Cursor CLI (6.2m) ➤ Fast mode enables better responsiveness at 6x pricing: Fast runs 30% faster than standard Composer 2.5, but is ~6x the cost per task ($0.44 vs $0.07). Token pricing is 6x higher for Fast: $3.00/$15.00 vs $0.50/$2.50 per million input/output tokens Model details: ➤ Base model: Continued training on @Kimi_Moonshot's open weights Kimi K2.5 as with Composer 2, with Cursor reporting ~85% of total compute from its own additional training and reinforcement learning ➤ Pricing: $0.50/$2.50 per million input/output tokens for the standard variant; $3.00/$15.00 for the Fast variant (the default in Cursor) ➤ Available exclusively in Cursor: both Cursor IDE and Cursor CLI, an externally accessible API is not available Congratulations @cursor_ai and @mntruell on the impressive release!

    推荐理由:推文用每任务成本对比 Composer 2.5 与两个更高分编码智能体,读者可据此权衡编码任务上的性能与花费。