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wen aidev | AI網站開發 ((e,t,r,n,o,i,a,l)=>{let u=document.documentElement,s=["light","dark"];function c(t){(Array.isArray(e)?e:[e]).forEach(e=>{let r="class"===e,n=r&&i?o.map(e=>i[e]||e):o;r?(u.classList.remove(...n),u.classList.add(i&&i[t]?i[t]:t)):u.setAttribute(e,t)}),l&&s.includes(t)&&(u.style.colorScheme=t)}if(n)c(n);else try{let e=localStorage.getItem(t)||r,n=a&&"system"===e?window.matchMedia("(prefers-color-scheme: dark)").matches?"dark":"light":e;c(n)}catch(e){}})("class","theme","system",null,["light","dark"],null,true,true) wen aidev blog 探索 互動式文章 方案 關於 歡迎來到 Wenblog 探索深入的網站開發、AI 及個人成長文章。 深入了解 AI Agent 技術和 AI 工作流程。 WEN 深入探索系列 探索所有文章 Claude Code 系列教學 Claude Code 完整教學與進階技巧 閱讀更多 AI Agent Ai Agent 系列發展 閱讀更多 免費開發資源 免費實用ai coding tools 閱讀更多 anthropic 系列 anthropic課程,claude code 閱讀更多 Agentic Coding Plugin 研究 拆解 GSD、BMAD 等熱門 AI Coding 框架的設計思路 閱讀更多 Popular Posts 現代軟體測試與 AI 實戰 (6)：Agentic Testing 的閉環，AI 自動執行與除錯 Mar 18, 2026 現代軟體測試與 AI 實戰 (5)：AI 輔助整合測試實戰，從 Markdown 到真實程式碼 Mar 17, 2026 現代軟體測試與 AI 實戰 (1)：自動化測試入門與 TDD 核心思維 Mar 13, 2026 Claude Code ultrathink 完整教學 2026：一行觸發 AI 深度思考模式 Mar 29, 2026 Agentic Coding 工具總結：GSD、Superpowers、Agent Teams 怎麼選？ Mar 28, 2026 mail Mail github GitHub facebook Facebook linkedin Linkedin threads Threads medium Medium Copyright © 2026 • wenaidev • 隱私政策 • 資料刪除 Tailwind Nextjs Theme (self.__next_f=self.__next_f||[]).push([0]);self.__next_f.push([2,null]) self.__next_f.push([1,"1:HL[\"/_next/static/media/36966cca54120369-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]\n2:HL[\"/_next/static/css/1191eab86dc641d6.css\",\"style\"]\n3:HL[\"/_next/static/css/c076c8a910c8a461.css\",\"style\"]\n"]) self.__next_f.push([1,"4:I[2846,[],\"\"]\n6:I[4823,[\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"1931\",\"static/chunks/app/page-d84eef290eb3b438.js\"],\"default\"]\n7:I[2972,[\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"1931\",\"static/chunks/app/page-d84eef290eb3b438.js\"],\"\"]\n8:I[5878,[\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"1931\",\"static/chunks/app/page-d84eef290eb3b438.js\"],\"Image\"]\n9:I[1556,[\"7142\",\"static/chunks/109f1dee-dca243e4219b3690.js\",\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"7029\",\"static/chunks/7029-f61eb226f189ab32.js\",\"3185\",\"static/chunks/app/layout-bbffc804f7a0dc92.js\"],\"ThemeProviders\"]\na:I[8003,[\"7142\",\"static/chunks/109f1dee-dca243e4219b3690.js\",\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"7029\",\"static/chunks/7029-f61eb226f189ab32.js\",\"3185\",\"static/chunks/app/layout-bbffc804f7a0dc92.js\"],\"\"]\nb:I[5034,[\"7142\",\"static/chunks/109f1dee-dca243e4219b3690.js\",\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"7029\",\"static/chunks/7029-f61eb226f189ab32.js\",\"3185\",\"static/chunks/app/layout-bbffc804f7a0dc92.js\"],\"KBarSearchProvider\"]\nc:I[8292,[\"7142\",\"static/chunks/109f1dee-dca243e4219b3690.js\",\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"7029\",\"static/chunks/7029-f61eb226f189ab32.js\",\"3185\",\"static/chunks/app/layout-bbffc804f7a0dc92.js\"],\"default\"]\nd:I[4707,[],\"\"]\ne:I[6423,[],\"\"]\n10:I[1365,[\"7142\",\"static/chunks/109f1dee-dca243e4219b3690.js\",\"2972\",\"static/chunks/2972-cbefbedb4ba0e2bc.js\",\"5878\",\"static/chunks/5878-8a1817547571aed6.js\",\"7029\",\"static/chunks/7029-f61eb226f189ab32.js\",\"3185\",\"static/chunks/app/layout-bbffc804f7a0dc92.js\"],\"SpeedInsights\"]\n12:I[1060,[],\"\"]\nf:T498,M12.186 24h-.007c-3.581-.024-6.334-1.205-8.184-3.509C2.35 18.44 1.5 15.586 1.472 12.01v-.017c.03-"]) self.__next_f.push([1,"3.579.879-6.43 2.525-8.482C5.845 1.205 8.6.024 12.18 0h.014c2.746.02 5.043.725 6.826 2.098 1.677 1.29 2.858 3.13 3.509 5.467l-2.04.569c-1.104-3.96-3.898-5.984-8.304-6.015-2.91.022-5.11.936-6.54 2.717C4.307 6.504 3.616 8.914 3.589 12c.027 3.086.718 5.496 2.057 7.164 1.43 1.783 3.631 2.698 6.54 2.717 2.623-.02 4.358-.631 5.8-2.045 1.647-1.613 1.618-3.593 1.09-4.798-.31-.71-.873-1.3-1.634-1.75-.192 1.352-.622 2.446-1.284 3.272-.886 1.102-2.14 1.704-3.73 1.79-1.202.065-2.361-.218-3.259-.801-1.063-.689-1.685-1.74-1.752-2.964-.065-1.19.408-2.285 1.33-3.082.88-.76 2.119-1.207 3.583-1.291a13.853 13.853 0 0 1 3.02.142c-.126-.742-.375-1.332-.75-1.757-.513-.586-1.308-.883-2.359-.89h-.029c-.844 0-1.992.232-2.721 1.32L7.734 7.847c.98-1.454 2.568-2.256 4.478-2.256h.044c3.194.02 5.097 1.975 5.287 5.388.108.046.216.094.321.142 1.49.7 2.58 1.761 3.154 3.07.797 1.82.871 4.79-1.548 7.158-1.85 1.81-4.094 2.628-7.277 2.65Zm1.003-11.69c-.242 0-.487.007-.739.021-1.836.103-2.98.946-2.916 2.143.067 1.256 1.452 1.839 2.784 1.767 1.224-.065 2.818-.543 3.086-3.71a10.5 10.5 0 0 0-2.21