设计数据密集型应用(第二版)
DDIA 第二版中文翻译,系统讲解数据模型、存储、事务、分布式系统、批处理与流处理。
A lightweight bookmark collection and sharing platform
DDIA 第二版中文翻译,系统讲解数据模型、存储、事务、分布式系统、批处理与流处理。
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How to remain competitive in the AI era of software engineering
Multi-agent systems that mirror real engineering teams — not just code faster — can cut debug time by 93% and compress cross-team delivery. Here's the architecture built on LangGraph.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
A comprehensive guide to working with coding agents, from starting with plans to managing context, customizing workflows, and reviewing code.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.
Discover how Anthropic builds AI agents with practical capabilities through modular skills, enabling them to handle complex real-world tasks more effectively and reliably.
Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Writing effective tools for AI agents—using AI agents
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Airing's Homepage - Software Engineer @ Singapore
Dan Wang is author of Breakneck: China's Quest to Engineer the Future, a fellow at Hoover, formerly of Yale Law School and Gavekal Dragonomics
Guide.world travel writing
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Step by step guide to becoming a Software Architect in 2026
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以前要注册谷歌账号都是直接PC端打开电脑,随便输入几下信息就能注册到一个账号了,后来风控加强了,也只是要求验证一 ...
将创作的自由还给创作者!爱发电是让创作者简单地获得稳定收入的粉丝赞助平台。无论你在创作什么,都能在这里获得持续的资金支持,让创作从此更自由。
跟他们解释什么是SEO,什么是用户体验,什么是数据挖掘,他们会在听你说完之前就撞墙自杀。正是因为如此,当智商高达147的IT青年还在为3k薪水拼命、而智商不到50的烧烤店老板正坐在porsche里玩着前面那位青年开发的app的时候,我就忍不住仰望星空。
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Here was my last Workplace post in the "Shitposting" group the night before the mass layoffs: In the end, it doesn't even matter I was incline benching 155 lbs in the packed MPK gym this evening while some Metabrothers were standing in front of me waiting for the squat rack, and I heard that song…
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写在前面刚加完班,打开手机的时候已经是凌晨十二点。办公室的灯还没关,但我已经离开了。这个地方让我觉得疲惫,不是身体上的,而是某种更深层的东西——好像每说一句话,都要在心里过一遍筛子。我一如既往的给Claude 4.5输入了一个问题 (提示词我放在文章末尾)。不是什么大事。只是关于...
写在 PicGo 即将 8 周年之际
人生到处何所似,find my inner peace.
Salary negotiation advice, mostly for engineers. Running total of raises negotiated due to this essay: $15M+.
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1 目录 软件工程师的软技能指北(一):总览篇 软件工程师的软技能指北(二):事业篇 软件工程师的软技能指北(三):高效交流篇 软件工程师的软技能指北(四):简历篇 软件工程师的软技能指北(五):面试篇(暂时跳过, 后面再填) 软件工程师的软技能指北(六):谈薪篇 2 前言 让我静静,我只想写代码 化用《我的团长我的团》里面,孟烦了父亲的一句话:
基本上每天微博、博客以及邮件都会受到很多同行的问题咨询,我个人是非常欢迎交流与学习的,因此有问必答。但是,毕竟一个人精力有限,我又没有财力请经纪人或者小秘之类的,如何高效利用时间就是对于我来讲就是非常重要的事情。毕竟,我的本职工作不是技术咨询师,而是在厂子里干活。其中一点就是固定时间处理邮件,蛋的!就是这个邮件沟通,有好几次,几位同行的提问让我很火大,早就想写篇文章,教教这些人怎么才是高效地邮件沟通之道……
The async/await saga is a story where each chapter solves the previous chapter's worst problem while introducing new structural costs. The sequential syntax that made async code readable also obscures the thing that matters: which operations actually depend on each other.
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Nobody demands that plumbers feel passion for pipes, so why do developers apologize for wanting profit? Money is a perfectly good reason to ship.
How to ship real products alone and what to care about at each stage.
6000+ 字告诉你如何选择独立开发技术栈和平台,如何开启性价比独立开发之旅
距离简单简历发布已经过了两年半,现在它已经有 20000 用户,所以我认为它已经是一个模式完全被验证的产品了,所以我创建了 TailwindResume 这个产品,通过冷启动的方式在两周内收获 50 个用户,赚到了 100 美元,不是特别惊人,所以非常真实,是每个想出海的独立开发者都可以完全复制的经验。
从三位读者的困惑出发,探讨 AI 逐步取代执行环节后人类还剩下什么,提出判断力、品味与推演三种难以被替代的能力,并反思认知外包对个体主体性的侵蚀。
how did we fix the ai design slop problem in llms - DeepSeek/Kimi/Qwen or Claude/GPT?! i've been thinking about "why do all ai-generated designs look the same?" is it a model problem or a harness problem? context: we're fixing the llm design problem with `/design` for @CommandCodeAI - atm it has …