[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-vibe-coded-apps-slow-ios-app-store-review-zh":3,"tags-vibe-coded-apps-slow-ios-app-store-review-zh":33,"related-lang-vibe-coded-apps-slow-ios-app-store-review-zh":49,"related-posts-vibe-coded-apps-slow-ios-app-store-review-zh":53,"series-industry-388e0b64-5c57-491e-bc10-aba9a60a938d":90},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":21,"translated_content":10,"views":22,"is_premium":23,"created_at":24,"updated_at":24,"cover_image":11,"published_at":25,"rewrite_status":26,"rewrite_error":10,"rewritten_from_id":27,"slug":28,"category":29,"related_article_id":30,"status":31,"google_indexed_at":32,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":23},"388e0b64-5c57-491e-bc10-aba9a60a938d","AI 代寫 App 讓 iOS 審查變慢","\u003Cp>\u003Ca href=\"\u002Fnews\u002Fapple-removes-anything-vibe-coding-app-store-zh\">Appl\u003C\u002Fa>e 說，約 90% 的 App 提交會在 48 小時內通過。聽起來很快。可是，現在有些開發者等了好幾天，甚至幾週。\u003C\u002Fp>\u003Cp>原因很直白。AI 工具把做 App 的門檻壓低了。像 \u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Freplit.com\" target=\"_blank\" rel=\"noopener\">Replit\u003C\u002Fa>，都能把自然語言變成程式碼。結果就是，送審量先爆了，審查隊列也跟著卡住。\u003C\u002Fp>\u003Cp>講白了，現在不是只比誰會寫程式。是比誰能先通過 Apple 的審查。這件事對台灣獨立開發者，真的很有感。\u003C\u002Fp>\u003Ch2>為什麼 App Store 變得更擠\u003C\u002Fh2>\u003Cp>先看一個數字。Apple 說，90% 的 App 會在 48 小時內處理完。這代表大多數案子還算快。可是，只要有一小撮案子拖很久，開發者就會覺得整個流程在卡。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775121938411-lpg7.png\" alt=\"AI 代寫 App 讓 iOS 審查變慢\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>問題出在 \u003Ca href=\"\u002Fnews\u002Fbuild-ai-crypto-trading-bot-guide-zh\">AI\u003C\u002Fa> 生成 App 的成本太低。以前你要做一個能跑的 iPhone App，得先會 Swift、UI、API 串接，還要處理錯誤。現在很多人只要丟提示詞，就能生出一個像樣的原型。能上架的東西變多，送審自然也變多。\u003C\u002Fp>\u003Cp>外媒 \u003Ca href=\"https:\u002F\u002Fwww.extremetech.com\" target=\"_blank\" rel=\"noopener\">ExtremeTech\u003C\u002Fa> 引述 Business Insider 的說法，iOS 新 App 發布量，已經跑到大約 4 年來最快的速度。這不是小波動。這是整個供給端變厚了。\u003C\u002Fp>\u003Cul>\u003Cli>Apple 說 90% 的 App 會在 48 小時內審完。\u003C\u002Fli>\u003Cli>有些開發者回報，等待時間是幾天到幾週。\u003C\u002Fli>\u003Cli>Business Insider 指出，新 iOS 發布量達 4 年高點。\u003C\u002Fli>\u003Cli>AI 工具可用自然語言快速產出可運作的 App。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這種情況下，審查系統就會很痛苦。因為它不只是在看功能。它還要判斷是不是垃圾 App，是不是誤導使用者，是不是有安全風險。當送審量一口氣變大，人工審查就會先被拖慢。\u003C\u002Fp>\u003Cp>我覺得這裡有個很現實的問題。很多 vibe-coded App 看起來像成品，實際上只是半成品。這種東西一多，真正要上架的正經 App 也會被掃到。\u003C\u002Fp>\u003Ch2>Apple 的審查壓力從哪來\u003C\u002Fh2>\u003Cp>Apple 的審查機制，本來就是混合模式。先靠自動化檢查，再靠人工判斷。這套流程在送審量穩定時，還算順。可是一旦 AI 工具把產量拉高，瓶頸就會浮出來。\u003C\u002Fp>\u003Cp>Apple 沒有公開完整的延遲分布。外界只能看到平均值。問題是，平均值對單一開發者沒什麼幫助。你如果剛好卡在那 10%，就只能等。\u003C\u002Fp>\u003Cp>Tim Cook 在 2016 年股東會說過一句話：\u003Cblockquote>“Our goal is to give users a great experience and to help developers succeed.” — Tim Cook, Apple shareholder meeting, 2016\u003C\u002Fblockquote>這句話放到現在還是成立。只是現在的「great experience」，還多了防堵 AI 灌水 App 這件事。\u003C\u002Fp>\u003Cp>Apple 也碰到另一個麻煩。它曾經擋下某些 vibe-\u003Ca href=\"\u002Fnews\u002Fvibe-coding-changing-who-can-build-software-zh\">codi\u003C\u002Fa>ng 工具的更新，理由是那些工具會下載或執行不符合規則的程式碼。Apple 的說法很清楚：它是在套用既有規則，不是在針對 AI 本身開刀。\u003C\u002Fp>\u003Cp>這點很重要。因為它告訴開發者，風險不在 AI 這個標籤。風險在行為。像是動態載入程式碼、偷偷改功能、或在審查後才換內容，這些都很危險。\u003C\u002Fp>\u003Cp>說真的，Apple 不是討厭 AI。它討厭的是不透明。你如果把 App 做得像黑箱，審查就會對你更不客氣。\u003C\u002Fp>\u003Ch2>數字一比，差距就很明顯\u003C\u002Fh2>\u003Cp>Apple 說 48 小時內可處理 90% 的提交。這個數字看起來漂亮。可是，對開發者來說，真正重要的是尾端延遲。因為產品發版、活動上線、訂閱續費，常常都卡在那幾天。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775121944348-gna6.png\" alt=\"AI 代寫 App 讓 iOS 審查變慢\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這也解釋了為什麼 AI 時代更需要自動化初篩。人工審查很貴，也很慢。當提交量變大，最先吃不消的，就是人力。自動化可以先擋掉明顯的垃圾、重複包、壞掉的 binary，讓審查員把時間留給真的需要判斷的案子。\u003C\u002Fp>\u003Cp>如果把 iOS 和其他平台放一起看，差異也很明顯。iPhone 的分發高度集中。你要上架，幾乎只能走 Apple 這條路。這讓審查變成一個單點瓶頸。Android 雖然也有商店審核，但分發路徑比較多，壓力分散一些。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fdeveloper.apple.com\u002Fapp-store\u002Freview\u002Fguidelines\u002F\" target=\"_blank\" rel=\"noopener\">Apple App Store Review Guidelines\u003C\u002Fa> 是送審的基本規則。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fdeveloper.apple.com\u002Fapp-store\u002F\" target=\"_blank\" rel=\"noopener\">App Store\u003C\u002Fa> 是 iPhone 主流分發入口。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fdeveloper.android.com\u002F\" target=\"_blank\" rel=\"noopener\">Android\u003C\u002Fa> 也在加強開發者驗證與帳號控管。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.reddit.com\u002Fr\u002FiOSProgramming\u002F\" target=\"_blank\" rel=\"noopener\">r\u002FiOSProgramming\u003C\u002Fa> 常有人分享審查時間與退件原因。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.businessinsider.com\" target=\"_blank\" rel=\"noopener\">Business Insider\u003C\u002Fa> 曾報導 iOS 新發布量上升。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>競品比較也很有意思。像 \u003Ca href=\"https:\u002F\u002Fwww.apple.com\" target=\"_blank\" rel=\"noopener\">Apple\u003C\u002Fa> 的優勢，是控制力強。壞處也一樣明顯。只要審查慢，所有人一起慢。這跟網路服務不同。你不能自己改 DNS 就繞過去。\u003C\u002Fp>\u003Cp>我會直接說，這是平台治理的老問題。只是 AI 把問題放大了。以前一週進來一批 App，現在可能一天就湧進很多個半成品。審查員再強，也不是機器。\u003C\u002Fp>\u003Ch2>這波其實不是 Apple 才有的事\u003C\u002Fh2>\u003Cp>很多人以為，這只是 App Store 的麻煩。其實不是。這是整個軟體供應鏈的變化。AI 讓原型、測試版、甚至可上架版本的產出速度都變快了。結果就是，平台端要重新想怎麼過濾品質。\u003C\u002Fp>\u003Cp>以前做 App，成本高，數量自然少。現在做 App 的門檻低，數量就會暴增。這個邏輯很簡單。你只要看 GitHub、各種 no-code 工具、還有 LLM coding assistant 的普及速度，就知道這波不會停。\u003C\u002Fp>\u003Cp>但平台不會因為你用 AI 就放水。反而更可能收緊。因為 AI 產物太容易長得像真的。外觀像真的，不代表安全。功能像真的，也不代表合規。\u003C\u002Fp>\u003Cp>對台灣開發者來說，這件事很現實。你可能在公司裡做的是內部工具，或是接案做 MVP。可是一旦要上架到 iOS，就得接受 Apple 的節奏。你的程式碼寫得再快，審查還是照它的表走。\u003C\u002Fp>\u003Cp>所以，現在最實際的策略不是求快上。是先把風險收乾淨。不要用奇怪的動態載入。不要在送審後偷偷換功能。不要讓 metadata 跟實際內容對不上。\u003C\u002Fp>\u003Ch2>開發者現在該怎麼做\u003C\u002Fh2>\u003Cp>如果你正在做 AI 輔助的 iPhone App，我會建議你把審查時間抓寬一點。不要只看 Apple 的平均值。你要按最差情況排程。活動上線前，至少預留幾天緩衝。\u003C\u002Fp>\u003Cp>另外，App 架構要盡量單純。binary 自包含最好。遠端下發程式碼這種玩法，現在很容易踩線。你如果真的需要後端控制，請把邏輯放在 API 層，不要碰審查最敏感的區域。\u003C\u002Fp>\u003Cp>還有一點很重要。AI 幫你寫 code，不代表你就可以少做 QA。很多 vibe-coded App 的問題，不是功能不夠，而是邏輯太鬆。登入、付款、權限、隱私權說明，這些地方最容易出事。\u003C\u002Fp>\u003Cp>我的判斷很直接。接下來 App Store 的爭點，不會是 AI 能不能寫 App。會是 Apple 怎麼證明一個 App 值得審、該不該放行、要不要更快處理正經更新。對開發者來說，現在最重要的問題是：你的 App 能不能在更嚴的隊列裡活下來？\u003C\u002Fp>\u003Cp>如果答案不確定，那就別把上架時間押得太緊。先把產品做實，再來跟審查制度硬碰硬，通常比較不會翻車。\u003C\u002Fp>","AI 生成的 iPhone App 正塞爆 App Store 審查隊列。Apple 說 48 小時內可過 90%，但不少開發者等到幾天甚至幾週。","www.extremetech.com","https:\u002F\u002Fwww.extremetech.com\u002Fmobile\u002Fdevelopers-say-vibecoded-apps-are-clogging-the-ios-app-store-review-process",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775121938411-lpg7.png",[13,14,15,16,17,18,19,20],"App Store","iOS 審查","AI 生成 App","vibe coding","Apple","開發者","App 上架","LLM 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Stack，瞄準機器速度支付","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871663628-uyk5.png","2026-05-15T19:00:44.16849+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":29},"96d96399-f674-4269-997a-cddfc34291a0","iren-signs-nvidia-ai-infrastructure-pact-zh","IREN 綁上 Nvidia AI 基建","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871057561-bukp.png","2026-05-15T18:50:37.57206+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":29},"de12a36e-52f9-4bca-8deb-a41cf974ffd9","circle-agent-stack-ai-payments-zh","Circle 推出 Agent Stack 做 AI 付款","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778870462187-t9xv.png","2026-05-15T18:40:30.945394+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":29},"e6379f8a-3305-4862-bd15-1192d3247841","why-nebius-ai-pivot-is-more-real-than-hype-zh","為什麼 Nebius 的 AI 轉型比炒作更真實","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823044520-9mfz.png","2026-05-15T05:30:24.978992+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":29},"66c4e357-d84d-43ef-a2e7-120c4609e98e","nvidia-backs-corning-factories-with-billions-zh","Nvidia 出資 Corning 工廠擴產","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822450270-trdb.png","2026-05-15T05:20:27.701475+00:00",{"id":85,"slug":86,"title":87,"cover_image":88,"image_url":88,"created_at":89,"category":29},"31d8109c-8b0b-46e2-86bc-d274a03269d1","why-anthropic-gates-foundation-ai-public-goods-zh","為什麼 Anthropic 和 Gates Foundation 應該投資 A…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778796636474-u508.png","2026-05-14T22:10:21.138177+00:00",[91,96,101,106,111,116,121,126,131,136],{"id":92,"slug":93,"title":94,"created_at":95},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":117,"slug":118,"title":119,"created_at":120},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":127,"slug":128,"title":129,"created_at":130},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":132,"slug":133,"title":134,"created_at":135},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":137,"slug":138,"title":139,"created_at":140},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]