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Yousa Driven Development | YDD

面向 AI 协作编程的实践手记 涵盖 AI Coding 工具使用、Claude Code 深度实践、Agent 工程、以及软件开发方法论。作者:Yousa Li。网站:https://yousali.com/

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# Yousa Driven Development | YDD

> 面向 AI 协作编程的实践手记 涵盖 AI Coding 工具使用、Claude Code 深度实践、Agent 工程、以及软件开发方法论。作者:Yousa Li。网站:https://yousali.com/

## Blog Posts

- [一文读懂 Harness Engineering:从 14 篇工程文章中,寻找那个让 AI 不再离经叛道的壳](https://yousali.com/posts/20260405-harness-engineering-guide/): 从 Anthropic、OpenAI、Cursor 三家头部公司的 14 篇工程文章出发,拆解 Harness Engineering 的三层架构:流程管控、并发调度、验证对抗,以及模型进步后的减法逻辑。
- [你不是在选赛道,你是在选标签](https://yousali.com/posts/20260325-choosing-labels-not-tracks/): To B 还是 To C?这个问题本身就问错了。标签是沟通工具,不该替你做决策。
- [为什么你读了100本书,生活却没什么变化?](https://yousali.com/posts/20260307-closed-loop-thinking/): 大多数人的努力只有输入没有输出,缺少反馈闭环。闭环不是把事做完,是让判断变准。先执行,再观测,用结果校准下一次判断。
- [为什么 AI 写代码更快但交付没变,以及我怎么把它扳回来的](https://yousali.com/posts/20260303-ai-coding-efficiency-to-evolution/): METR 实验显示 AI 辅助编码客观慢 19% 但主观觉得快 20%。本文从约束理论、Spec/Rule/Skill 架构、验证闭环、并发策略四个维度拆解效率悖论,论证 AI Coding 的真正红利不在加速,而在能力进化。
- [AI Coding 融入后台研发全链路:现状、边界与讨论框架](https://yousali.com/posts/20260228-ai-coding-sdlc-status-discussion/): 基于 10 份行业报告的交叉分析,梳理 AI Coding 在 SDLC 各阶段的真实现状、局限与风险,为团队脑暴提供数据驱动的讨论框架。
- [多源报告结构化分析 SOP](https://yousali.com/posts/20260227-multi-source-report-structured-analysis-sop/): 一套可复用的方法论,用于从 N 份异质来源报告中系统性提取、分析、对比某一维度信息,并产出结构化交叉分析文档。
- [省10秒,赔一个早上](https://yousali.com/posts/20260221-save-10-seconds/): 一次倒火锅油堵塞水槽的经历,让我重新思考了'粗心'与'认知盲区'的区别,以及为什么'下次注意'从来不管用。
- [不要让 AI 批改自己的试卷 —— 一次 16 处遗漏的协作复盘](https://yousali.com/posts/20260218-ai-collaboration-acceptance-blindspots/): 169 个测试全过,功能却完全失效。本文解剖一个真实任务的四层验收漏斗,揭示多层架构中横向传播遗漏的本质问题——以及不同 Prompt 策略如何决定验收效率。
- [从一个 WebSocket 到四个组件:多端操控 AI Coding CLI 的架构演化](https://yousali.com/posts/20260217-websocket-to-four-components/): 从最简方案开始,每遇到一个绕不过去的约束就加一个组件。四层方案逐层淘汰,最终发现四组件是五个硬约束逐层叠加的必然结果。
- [用 300 行 Swift 让 iPhone 变成 Kimi CLI 控制台](https://yousali.com/posts/20260216-swift-kimi-cli-console/): 用约 300 行 Swift 代码,零第三方依赖,把 iPhone 变成功能完备的 Kimi CLI 控制台。详解 Web UI 架构、Wire 协议和 iOS 封装实现。
- [选工作,你在看朋友圈还是体检报告?](https://yousali.com/posts/20260214-choose-leader-signal-vs-system/): 「跟对人」没有错,但「对的人」不是一眼看上去让你兴奋的人,而是经得起去光环化检验的人
- [为什么有些人越忙越穷,有些人越闲越富](https://yousali.com/posts/20260214-busy-poor-vs-leveraged-wealth/): 从学习到工作,从打工到创业,四个故事揭示一个反直觉的真相:忙碌不等于高产出。线性努力有天花板,杠杆化努力才有指数增长的可能。
- [当浏览器自动化遇上平台风控:一次小红书发布工具的反检测实战](https://yousali.com/posts/20260213-browser-automation-anti-detection/): 国内内容平台没有开放API,浏览器自动化是唯一出路。但平台风控会检测自动化痕迹。本文记录了一次完整的反检测实战:从 Playwright 被封到 Patchright + CDP 模式的调试全过程,踩过 7 个具体的坑,提炼出可复用的原则。
- [追赶者困境](https://yousali.com/posts/20260113-the-chaser-dilemma/): 从大模型降价与云计算追赶案例出发,讨论追赶者优势如何转化为价格战,以及领先者通过生态与用户习惯形成的结构性壁垒。
- [像玩游戏那样玩 AI](https://yousali.com/posts/20251229-how-to-use-ai-like-game/): 你对抖音没有学习意愿,但能刷三小时;你对 AI 充满学习意愿,但用不了十分钟。区别不在意志力,而在于谁设计了那个让你停不下来的循环。
- [我,一个重度极客用户,为什么觉得这代 AI 眼镜不适合我](https://yousali.com/posts/why-current-ai-glasses-fail-the-geek-test/): 用《跨越鸿沟》的框架,系统性拆解为什么这一代 AI 眼镜——以夸克 AI 眼镜为代表——还没有真正跨过从早期用户到主流市场的那条鸿沟。
- [从「写代码」到「验代码」:AI 搭档写走 3 年,我踩出来的协作路线图](https://yousali.com/posts/20251124-how-to-coding-with-ai/)
- [Claude Code 还是 Codex?贵但强 vs 便宜但稳](https://yousali.com/
…

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