Latest 50
#01
为啥 Codex 还不推出类似 Codex Design 的产品?
Why Hasn't Codex Shipped Its Own Claude Design?
差距不在工具链,而在模型能否先架构、后画面。
The gap isn't the toolchain — it's whether the model can architect before it can draw.
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#02
DeepSeek 的 10 万亿美元大战略
DeepSeek's 10 Trillion Dollar Grand Strategy
把 DeepSeek 缺失的产品线读作一场 10 万亿美元的硬件豪赌,而非短板
Reading DeepSeek's missing products as a $10 trillion hardware bet, not a gap
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#03
来自 Codex 官方团队的分享:如何把 Codex 用到极致
Getting the Most Out of Codex: From Code Editor to Computer-Work Agent
从 diff 生成器到全能电脑工作代理:Codex 的能力重构
Codex, reframed from diff generator to general computer-work operator
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#04
为什么我不"凭感觉编程"
Why I Don't Vibe Code
摩擦不是编程的故障,而是阻止烂设计上线的信号。
Friction isn't a bug in programming — it's the signal that keeps bad architecture from shipping.
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#05
创始人手册:打造 AI 原生初创公司
The Founder's Playbook: Building an AI-Native Startup
2026 年,创业四阶段被 AI 压缩重塑——速度提升的同时,失败模式也在加速。
2026 rewrites the startup lifecycle: idea, MVP, launch, scale — compressed by AI, but the failure modes get faster too.
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#06
Forward Deployed Engineer:AI 时代的新宠岗位,到底干什么?
Forward Deployed Engineer: AI's Hottest New Job, and What It Actually Does
当模型不再稀缺,稀缺的是把模型接进业务的人——三大 AI 巨头同时押注 FDE 岗位。
Why OpenAI, Anthropic, and Google are all racing to hire engineers who don't build models — they build the bridge into your business.
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#07
为什么资深开发者讲不清自己的专业能力
Why Senior Developers Fail to Communicate Their Expertise
两个循环,两只怪兽:业务追不确定性,开发者追复杂性——沟通鸿沟的根源就在这里。
Two loops, two monsters: business chases uncertainty, developers chase complexity — and that's the whole communication gap.
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#08
AI 时代到底该怎么管一个工程团队
How to Manage an Engineering Team in the AI Era
当写代码从昂贵变成免费,一位 Claude Code 负责人关于重建工程管理体系的一线笔记。
A Claude Code leader's field notes on rebuilding engineering management when writing code goes from expensive to free.
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#09
Codex 的野心,MCP 和 Skill 的下一步
Codex's Real Ambition: What MCP and Skills Still Can't Solve
三栏界面的收敛只是表象,真正的赌注是把 Agent 变成应用商店式的平台。
A three-pane UI convergence is the visible tip of a bigger bet: turning agents into app-store platforms.
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#10
深度拆解:AI Agent Harness 的构造
The Anatomy of an Agent Harness
从“无状态”大语言模型到能干的 Agent 之间,那层终于被命名和系统化的基础设施。
The infrastructure between a stateless LLM and a working agent, finally given a name and a taxonomy.
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#11
裁员潮将持续,直到我们学会发掘 AI 的商业价值
The Layoffs Will Continue Till We Learn to Use AI
裁员潮不会停,直到企业学会把 AI Token 变成收入,而不只是代码。
Layoffs won't stop until companies learn to turn AI tokens into revenue, not just code.
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#12
机器人的终局:英伟达 Jim Fan 宣告 VLA 时代结束,WAM 登场
Robotics' End Game: Nvidia's Jim Fan Declares VLA Dead, Ushers in WAM
从"语言主导的机器人大脑"到"会做梦的世界动作模型"
From language-dominated robot brains to a dreaming world-action model
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#13
使用 Claude Code:HTML 难以置信的奇效
Using Claude Code: The Unreasonable Effectiveness of HTML
Markdown 是模型知识的有损压缩,HTML 才是让它把话说透的载体。
Markdown is a lossy compression of what the model actually knows — HTML is the format that lets it show you everything.
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#14
Anthropic 兄妹 Dario Amodei 和 Daniela Amodei 最新对话:Claude 为什么一直限速?
Dario & Daniela Amodei's Latest Conversation: Why Does Claude Keep Rate-Limiting?
两位联合创始人解释 80 倍的实际增速如何冲垮了 10 倍的算力预案——以及这对限速、模型训练和下一个瓶颈意味着什么。
Two co-founders explain why 80x growth broke their 10x compute plan — and what that means for rate limits, model training, and the next bottleneck.
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#15
Boris Cherny:Claude Code 之后,写代码正在变成"管理 Agent"
Boris Cherny: After Claude Code, Programming Becomes Agent Management
从写代码到管理 Agent 舰队:Boris Cherny 的判断哪些站得住脚,哪些经不起推敲。
Boris Cherny on the shift from writing code to managing Agent fleets — and what his boldest claims get right and wrong.
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#16
大多数公司根本没有为 AI 做好准备
Most Companies Aren't Anywhere Near Ready for AI
连自己都说不清楚的公司,AI 救不了
Why AI can't fix a company that can't describe itself
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#17
Demis Hassabis:AGI 还缺什么,智能体到底行不行,下一个科学突破长什么样
Demis Hassabis: What AGI Still Lacks, Whether Agents Actually Work, and What the Next Scientific Breakthrough Looks Like
一位同时建模型、也用 AI 做科学的人,用 50/50 的判断拆解 AGI、智能体与科学突破的真实进展。
A 50/50 dissection of AGI, agents, and AI for Science from someone building both the models and the science.
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#18
Karpathy 最新访谈:Vibe Coding 只是开始,真正重要的是 Agentic Engineering
Karpathy's Latest Interview: Vibe Coding Was Just the Start — Agentic Engineering Is What Actually Matters
Vibe Coding 抬高了下限,Agentic Engineering 才是守住上限的硬仗。
Vibe Coding raised the floor. Agentic Engineering is the fight to keep the ceiling.
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#19
深度拆解 Hermes Agent 的记忆系统:它如何修正 OpenClaw 的误区
Deep Dive: How Hermes Agent's Memory System Fixes What OpenClaw Got Wrong
Hermes Agent 的四层记忆系统:用缓存纪律取代日记式记录
How Hermes Agent's four-layer memory system trades diary-keeping for cache discipline
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#20
AI 的经济账根本算不通
AI's Economics Don't Make Sense
GitHub Copilot 的定价大转弯,撕开了所有 AI 订阅背后的补贴假面——而 OpenAI 与 Anthropic 的债务倒计时已经开始。
GitHub Copilot's pricing U-turn exposes the subsidy that's been propping up every AI subscription — and the debt clock now running out on OpenAI and Anthropic.
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#21
为 Agent 设计产品
Designing for Agents
来自 Ramp 产品负责人的一线笔记:当 AI 智能体成为主要用户时,软件该如何重新设计。
A Ramp product leader's field notes on redesigning software for AI agents as the primary user.
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#22
Cat Wu 面试了几百个 PM 候选人,几乎没人答对一个问题:AI 产品经理到底应该干什么?
Cat Wu Interviewed Hundreds of PM Candidates — Almost None Got the AI PM Question Right
一次坦率的 AI 原生产品管理访谈,以及它自己未曾审视的几处矛盾。
A candid interview on AI-native product management, read against its own unexamined contradictions.
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#23
两小时激辩:黄仁勋为什么不怕 TPU、不怕华为、不怕出口管制?
Two-Hour Showdown: Why Jensen Huang Fears Neither TPUs, Huawei, Nor Export Controls
两小时无滤镜黄仁勋,用他自己的矛盾来检验他
Two hours of unfiltered Jensen Huang, tested against his own contradictions
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#24
设计圈的 Claude Code 时刻来了
Design's Claude Code Moment Has Arrived
Claude Design 把 AI 从画布插件变成主要设计者——人变成了审阅者。
Claude Design turns AI from a canvas plugin into the primary designer — and humans into reviewers.
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#25
使用 Claude Code:会话管理与 100 万 上下文
Using Claude Code: Session Management & the 1M Context Window
拆解 Claude Code 每回合的五条岔路——继续、回溯、清空、压缩、委派。
A field guide to the five forks in every Claude Code turn — continue, rewind, clear, compact, or delegate.
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#26
Vibe Coding 是中年男人的钓鱼
Vibe Coding Is Middle-Aged Men's Fishing
为什么深夜的 AI 编程,跟独自坐在河边钓鱼一模一样。
Why AI coding at midnight feels exactly like sitting alone by a river with a rod.
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#27
为什么你的"AI 优先"战略可能大错特错?
Why Your "AI-First" Strategy Is Probably Wrong
AI First 听着美好,但没有工程基础支撑,就是在沙子上盖楼。
AI-first sounds great, but without engineering scaffolding underneath, it's a building on sand.
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#28
多智能体协作指南:五种主流模式怎么选、怎么用?
Multi-Agent Coordination Patterns: Five Approaches and When to Use Them
一份从结构而非表象出发,教你如何选择并逐步升级多智能体协作模式的实用指南。
A structural, not cosmetic, guide to picking (and outgrowing) a multi-agent coordination pattern.
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#29
Claude Code 省 Token 指南:慎用 1M 上下文,不开新会话或者总是开新会话都不对
The Claude Code Token-Saving Guide: Beware 1M Context, and Neither "Always New Session" Nor "Never New Session" Is Right
理解提示缓存机制,才能真正搞清楚 Claude Code 的成本结构——很多时候,继续聊比开新会话更省钱。
Understanding prompt caching is the key to Claude Code's real cost structure — often, continuing a conversation is cheaper than starting fresh.
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#30
访谈|Codex 团队如何用自己的产品构建产品——整个 Spec 只有 10 个要点
Interview: How the Codex Team Builds Its Product With Its Own Product — A Spec of Just 10 Bullets
10 个要点、一个 PM、没有路线图:OpenAI Codex 极简管理法背后,那个不易察觉的前提条件
10 bullets, one PM, no roadmap: inside OpenAI Codex's minimalist management, and the one condition it all depends on
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#31
编程智能体真正的核心:不是模型,是 Harness
The Coding Agent Is Not the Model — It's the Harness
让聊天模型变身 Claude Code 的六个核心组件
Six components that turn a chat model into Claude Code
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#32
OpenAI 总裁 Greg Brockman:AI 自我改进、Super App 豪赌、通往 AGI 之路、算力扩张
OpenAI President Greg Brockman: AI self-improvement, the Super App gamble, the road to AGI, and the compute expansion
把 Brockman 90 分钟的叙事重新包装,放回被他省略的数字里检验
Reading Greg Brockman's 90-minute reframing against the numbers he left out
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#33
Claude Code 源码泄漏了,但我不打算写源码分析文章
Claude Code's Source Leaked — But I'm Not Writing a Code Analysis
与其再写一篇 AI 生成的"深度分析",不如学会怎么真正吃透一份大型开源代码。
A four-step method for actually learning from a leaked (or any) large codebase — instead of writing another AI-generated deep dive.
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#34
飞书 CLI 开源了,为什么 AI Agent 时代,大家都在做命令行工具?
Feishu Open-Sourced a CLI — Why Is Everyone Building Command-Line Tools for the AI Agent Era?
AI Agent 让命令行重新回到舞台中央
Why AI agents are bringing the command line back from the dead
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#35
Notion 联合创始人 Simon Last:我从去年夏天起就没写过一行代码了
Notion Co-founder Simon Last: I Haven't Written a Line of Code Since Last Summer
Notion 联合创始人:每半年重写一次 AI 系统,自己已经彻底不写代码
How Notion's co-founder rebuilds his AI stack every six months — and stopped writing code entirely
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#36
在中国 AI 生态圈摸底了两周,我学到了什么
What I Learned from Two Weeks Inside China's AI Ecosystem
一位 VC 的实地反转:看多中国硬件,看空中国软件
A VC's on-the-ground reversal: bullish on China hardware, bearish on China software
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#37
AI 发展太快跟不上?一张四象限图帮你做减法
Too Much AI, Too Little Time: A Four-Quadrant Filter for What to Skip
一个双轴筛选器,帮你判断哪些 AI 新事物值得投入有限的时间,哪些可以放心跳过。
A two-axis filter for deciding which AI trends deserve your limited time — and which are safe to skip.
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#38
被美国遣返、禁止入境 5 年,他在温哥华的卧室里做出了日处理 400 万工作流的 AI 平台
Deported From the U.S., Banned for 5 Years — He Built a 4M-Workflows-a-Day AI Platform From His Vancouver Bedroom
一个被遣返工程师的「被迫」方法论:可靠性为何胜过自主性,一道被关上的门如何造出了 Gumloop。
A deported engineer's constraint-driven playbook: why reliability beat autonomy, and why the border ban that closed one door built Gumloop.
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#39
构建 Claude Code 的经验:我们如何使用 Skills
Lessons from Building Claude Code: How We Use Skills
Anthropic 内部团队怎样把零散的 prompt 沉淀成可复用、可分发的 Claude Code Skills。
Inside Anthropic's own playbook for turning ad-hoc prompts into reusable, shareable Claude Code Skills.
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#40
智能体工程的 8 个等级
The 8 Levels of Agentic Engineering
一份关于如何弥合「AI 能写什么」与「团队能交付什么」之间差距的实战指南。
A field guide to closing the gap between what AI can code and what your team can actually ship.
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#41
编程 Agent 如何重塑工程、产品和设计
How Coding Agents Are Reshaping EPD
代码免费之后,判断力才是真正的工作
When code is free, judgment becomes the job
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#42
当 AI 写了几乎所有代码,软件工程会怎样?
When AI Writes Almost All the Code, What Happens to Software Engineering?
当 AI 写了几乎所有代码,稀缺的不再是敲代码的速度,而是工程纪律本身。
When AI writes nearly all the code, engineering discipline — not typing speed — becomes the scarce skill.
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#43
品牌时代
The Brand Age
瑞士表如何靠变成品牌,而非仪器,活下来
How Swiss watches survived by becoming brands, not instruments
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#44
我用 AI 翻译的三个阶段:提示词 → 推理模型 → Agent
Three Stages of AI Translation: Prompts → Reasoning Models → Agents
不靠预先设计规则,靠翻真实文章反复迭代出来的翻译 Skill
A working translation Skill, built by iterating on real articles instead of designing rules upfront
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#45
多稿合并:从手动比稿到一键 Skill
Merging Multiple Drafts: From Manual Comparison to a One-Command Skill
从手动比稿到一句话调用的 AI Skill
From manual draft-comparison to a one-line AI Skill
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#46
陶哲轩最新演讲:AI 不是来抢数学家蛋糕的,是来把蛋糕做大的
Tao's Latest Talk: AI Isn't Here to Take Mathematicians' Slice — It's Here to Grow the Pie
不是 AI,而是形式验证,正在悄悄改写数学的工作方式
Formal verification, not AI, is quietly rewiring how mathematics gets done
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#47
Greg Brockman(OpenAI 联合创始人)把"那场宫斗"讲完整了:董事会、请愿书、马斯克与控制权
Greg Brockman Finally Tells the Full Story: The Board, the Petition, Musk, and the Fight for Control
一场音乐制作人主导的三小时对话,第一次把 OpenAI 生死 72 小时和马斯克控制权谈判的完整内幕讲清楚。
Three hours with a music producer, not a tech reporter — and OpenAI's near-death weekend and the Musk control fight come out in full for the first time.
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#48
设计流程已死:Anthropic 设计负责人 Jenny Wen 谈 AI 时代的设计变革
Design Process Is Dead: Anthropic's Design Lead Jenny Wen on the AI-Era Design Shift
设计流程之死:不是自杀,是被工程速度逼死的
Design process is dead — killed by engineering speed, not designers
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#49
被封杀当晚,OpenAI 拿到了相同条款——Amodei 首次专访揭开 Anthropic 与五角大楼冲突内幕
Same Night, Same Clause: Inside Amodei's First Interview on the Anthropic–Pentagon Standoff
Amodei 首次镜头前回应五角大楼冲突——以及同一晚拆穿了这场冲突的那份协议
Amodei's first on-camera account of the Pentagon standoff — and the same-night deal that undercut it
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#50
从写代码到管 Agent:斯坦福首门 AI 软件开发课的讲师说,大多数工程师还没准备好
From Writing Code to Managing Agents: Stanford's First AI Dev Course Instructor Says Most Engineers Aren't Ready
为什么下一代工程师必须掌握的是编排 Agent 而不只是写代码——而他们的'没经验'恰恰可能是优势。
Why the next generation of engineers must master orchestrating agents, not just writing code — and why their inexperience might be the edge.
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