{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-11T09:21:12.743Z","headline":"GitHub 如何用堆叠式 Pull Request 拆解 AI 生成的巨型代码","description":"GitHub 介绍用堆叠式 Pull Request（stacked PR）解决 AI 编码智能体生成巨型代码难以审查的问题。通过将 1，000+ 行的大 diff 按数据、API、接线、UI 拆成 L1-L4 四个独立分层，每层可分配不同审查者。","url":"https://www.aioga.com/news/cmsewck8518x6ro2e32q4bksr/","mainEntityOfPage":"https://www.aioga.com/news/cmsewck8518x6ro2e32q4bksr/","datePublished":"2026-08-04T16:47:18.000Z","dateModified":"2026-08-04T16:47:18.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://github.blog/engineering/turn-one-giant-ai-generated-pull-request-to-a-reviewable-stack","https://aihot.virxact.com/items/cmsewck8518x6ro2e32q4bksr"],"canonicalUrl":"https://www.aioga.com/news/cmsewck8518x6ro2e32q4bksr/","directAnswer":{"@type":"Answer","text":"GitHub Blog 介绍以堆叠式 Pull Request 拆解 AI 编码智能体生成的大型变更：将超过千行的 diff 按数据、API、接线和 UI 划分为 L1 至 L4 四层，并让各层分别接受审查。","url":"https://www.aioga.com/news/cmsewck8518x6ro2e32q4bksr/","dateCreated":"2026-08-04T16:47:18.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"GitHub Blog source article","url":"https://github.blog/engineering/turn-one-giant-ai-generated-pull-request-to-a-reviewable-stack","datePublished":"2026-08-04T16:47:18.000Z","provider":{"@type":"Organization","name":"GitHub Blog","url":"https://github.blog/engineering/turn-one-giant-ai-generated-pull-request-to-a-reviewable-stack"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmsewck8518x6ro2e32q4bksr","datePublished":"2026-08-04T16:47:18.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmsewck8518x6ro2e32q4bksr"}}],"aggregationSource":"GitHub Blog","originalPublisher":{"name":"GitHub Blog","url":"https://github.blog/engineering/turn-one-giant-ai-generated-pull-request-to-a-reviewable-stack"},"geoDeepAnswer":null,"article":{"id":"cmsewck8518x6ro2e32q4bksr","slug":"cmsewck8518x6ro2e32q4bksr","url":"https://www.aioga.com/news/cmsewck8518x6ro2e32q4bksr/","title":"GitHub 如何用堆叠式 Pull Request 拆解 AI 生成的巨型代码","title_en":"Turn one giant AI-generated pull request to a reviewable stack","summary":"GitHub 介绍用堆叠式 Pull Request（stacked PR）解决 AI 编码智能体生成巨型代码难以审查的问题。通过将 1，000+ 行的大 diff 按数据、API、接线、UI 拆成 L1-L4 四个独立分层，每层可分配不同审查者。","source":"GitHub Blog","sourceUrl":"https://github.blog/engineering/turn-one-giant-ai-generated-pull-request-to-a-reviewable-stack","aiHotUrl":"https://aihot.virxact.com/items/cmsewck8518x6ro2e32q4bksr","publishedAt":"2026-08-04T16:47:18.000Z","category":"技巧观点","score":67,"selected":true,"articleBody":["Get started with stacked pull requests >：https://docs.github.com/pull-requests/how-tos/stacked-pull-requests","@juliamuiruri4：https://github.com/juliamuiruri4","Learn how I modernized an old codebase of mine using stacked sessions and pull requests in the GitHub Copilot app.","How a branch-free loop and byte-space arithmetic let GitHub case-fold every byte of code search at >45 GiB/s on a single core.","Dependabot keeps your dependencies current, but its defaults can flood your repository with pull requests. Here’s how grouping updates, slowing the cadence, and keeping security fixes fast cut the noise on a Microsoft open source project.","The cost of writing code dropped; the cost of owning it didn’t. A framework for deciding which changes are actually cheap in the AI era.","Everything you need to master GitHub, all in one place.","Build what’s next on GitHub, the place for anyone from anywhere to build anything.","Meet the companies and engineering teams that build with GitHub.","Join us October 28-29 in San Francisco or online for GitHub Universe, our flagship developer event uniting people, agents, and the world’s code."],"articleImages":[{"sourceUrl":"https://avatars.githubusercontent.com/u/40116776?v=4&s=200","alt":"Julia Muiruri","afterParagraph":0,"url":"/media/articles/cmsewck8518x6ro2e32q4bksr/95dda3a829d254dd.jpg"},{"sourceUrl":"https://github.blog/wp-content/uploads/2025/11/GithubStockIllos_Sketch_ripple.jpg?zoom=3&resize=400%2C212","alt":"","afterParagraph":4,"url":"/media/articles/cmsewck8518x6ro2e32q4bksr/ae4c75b07112cf3f.webp"}],"mediaStatus":"ok","articleBodyZh":["开始使用堆叠拉取请求 >：https://docs.github.com/pull-requests/how-tos/stacked-pull-requests","@juliamuiruri4：https://github.com/juliamuiruri4","了解我是如何使用堆叠会话和拉取请求在 GitHub Copilot 应用中现代化我的旧代码库的。","一个无分支循环和字节空间算术如何让 GitHub 在单核上以 >45 GiB/s 的速度对每个代码搜索字节进行大小写折叠。","Dependabot 保持您的依赖项最新，但其默认设置可能会使您的仓库被拉取请求淹没。以下是通过分组更新、减缓节奏和快速处理安全修复来减少 Microsoft 开源项目噪音的方法。","编写代码的成本降低了；拥有代码的成本没有降低。一个在 AI 时代决策哪些更改实际上是廉价的框架。","掌握 GitHub 所需的一切都集中在一处。","在 GitHub 上构建下一步，无论谁在何处都能构建任何东西。","认识那些使用 GitHub 构建的公司和工程团队。","加入我们，于 10 月 28-29 日在旧金山或在线参加 GitHub Universe——我们的旗舰开发者活动，汇聚各方人士、代理和全球代码。"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"GitHub Blog 介绍以堆叠式 Pull Request 拆解 AI 编码智能体生成的大型变更：将超过千行的 diff 按数据、API、接线和 UI 划分为 L1 至 L4 四层，并让各层分别接受审查。","background":"材料指出，AI 生成的巨型代码变更存在难以审查的问题。正文摘录还提到使用堆叠式会话和 Pull Request 改造旧代码库，并提供了堆叠式 Pull Request 的入门文档。","viewpoint":"Aioga 判断，这一方法的重点不是减少生成代码，而是重新组织审查单元。按职责分层可能让审查者更集中地核对特定改动，但材料未说明其效率提升幅度或适用范围。","implications":"对采用 AI 编码智能体的团队而言，巨型 diff 可能被转化为多个相互分层的审查任务，并按数据、API、接线和 UI 分配不同审查者。值得关注的是，材料未披露实际审查耗时或质量数据。","nextStep":"团队可参考材料中的 L1 至 L4 结构，先尝试按数据、API、接线和 UI 拆分大型变更，再分别安排审查者。Aioga 建议记录审查耗时与返工情况，但这属于编辑建议，并非原文结论。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-08-04T17:29:42.061Z","sourceHash":"70b0b3145e672246","review":{"approved":true,"groundedness":96,"clarity":93,"duplicationRisk":24,"blockingIssues":[],"notes":["候选内容准确覆盖了超过千行的 diff、L1 至 L4 分层以及按数据、API、接线和 UI 拆分等来源信息。","关于审查效率、适用范围、耗时和质量数据的表述保持了审慎限定，没有将材料未提供的数据写成事实。","“Aioga 判断”和“Aioga 建议”明确标示为编辑观点或建议，不构成观点冒充来源事实。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","GitHub Blog"],"translations":{"zh-CN":{"title":"GitHub 如何用堆叠式 Pull Request 拆解 AI 生成的巨型代码","summary":"GitHub 介绍用堆叠式 Pull Request（stacked PR）解决 AI 编码智能体生成巨型代码难以审查的问题。通过将 1，000+ 行的大 diff 按数据、API、接线、UI 拆成 L1-L4 四个独立分层，每层可分配不同审查者。","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"GitHub 如何用堆叠式 Pull Request 拆解 AI 生成的巨型代码 - Aioga AI资讯","description":"GitHub 介绍用堆叠式 Pull Request（stacked PR）解决 AI 编码智能体生成巨型代码难以审查的问题。通过将 1，000+ 行的大 diff 按数据、API、接线、UI 拆成 L1-L4 四个独立分层，每层可分配不同审查者。","url":"https://www.aioga.com/news/cmsewck8518x6ro2e32q4bksr/","articleBody":["开始使用堆叠拉取请求 >：https://docs.github.com/pull-requests/how-tos/stacked-pull-requests","@juliamuiruri4：https://github.com/juliamuiruri4","了解我是如何使用堆叠会话和拉取请求在 GitHub Copilot 应用中现代化我的旧代码库的。","一个无分支循环和字节空间算术如何让 GitHub 在单核上以 >45 GiB/s 的速度对每个代码搜索字节进行大小写折叠。","Dependabot 保持您的依赖项最新，但其默认设置可能会使您的仓库被拉取请求淹没。以下是通过分组更新、减缓节奏和快速处理安全修复来减少 Microsoft 开源项目噪音的方法。","编写代码的成本降低了；拥有代码的成本没有降低。一个在 AI 时代决策哪些更改实际上是廉价的框架。","掌握 GitHub 所需的一切都集中在一处。","在 GitHub 上构建下一步，无论谁在何处都能构建任何东西。","认识那些使用 GitHub 构建的公司和工程团队。","加入我们，于 10 月 28-29 日在旧金山或在线参加 GitHub Universe——我们的旗舰开发者活动，汇聚各方人士、代理和全球代码。"]},"en":{"title":"How GitHub uses stacked pull requests to break down AI-generated massive code","summary":"GitHub introduces using stacked Pull Requests (stacked PR) to solve the problem of AI encoding agents generating large code that is difficult to censor. 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Ao dividir 1...","url":"https://www.aioga.com/pt-BR/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:02:38.405Z"},"ru":{"title":"Как GitHub использует стекированные pull requests для разбора огромного кода, сгенерированного ИИ,","summary":"GitHub вводит использование стекированных Pull Requests (stacked PR) для решения проблемы AI-энкодирующего агентов, генерирующих большой код, который трудно цензурировать. Разделив 1 000+ строк больших дифференциальных на четыре независимых слоя — L1-L4 — на основе данных, API, проводки и интерфейса, каждый слой может назначать разных рецензентов на разные уровни.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"Как GitHub использует стекированные pull requests для разбора огромного кода, сгенерированного ИИ, - Aioga Новости ИИ","description":"GitHub вводит использование стекированных Pull Requests (stacked PR) для решения проблемы AI-энкодирующего агентов, генерирующих большой код, который трудно цензурировать. Разделив...","url":"https://www.aioga.com/ru/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:02:39.323Z"},"ar":{"title":"كيف يستخدم GitHub طلبات السحب المكدسة لتفكيك الشيفرة الضخمة التي تولدها الذكاء الاصطناعي","summary":"يقدم GitHub استخدام طلبات السحب المكدسة (PR المكدسة) لحل مشكلة وكلاء ترميز الذكاء الاصطناعي الذين ينتجون شيفرة كبيرة يصعب مراقبتها. عن طريق تقسيم 1,000+ صف من الفروقات الكبيرة إلى أربع طبقات مستقلة—L1-L4—بناء على البيانات، وواجهة برمجة التطبيقات، والأسلاك، وواجهة المستخدم، يمكن لكل طبقة تعيين مراجعين مختلفين لمستويات مختلفة.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"كيف يستخدم GitHub طلبات السحب المكدسة لتفكيك الشيفرة الضخمة التي تولدها الذكاء الاصطناعي - Aioga أخبار الذكاء الاصطناعي","description":"يقدم GitHub استخدام طلبات السحب المكدسة (PR المكدسة) لحل مشكلة وكلاء ترميز الذكاء الاصطناعي الذين ينتجون شيفرة كبيرة يصعب مراقبتها. عن طريق تقسيم 1,000+ صف من الفروقات الكبيرة إلى...","url":"https://www.aioga.com/ar/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:02:48.717Z"},"hi":{"title":"GitHub AI-जनरेटेड बड़े पैमाने पर कोड को तोड़ने के लिए स्टैक्ड पुल अनुरोधों का उपयोग कैसे करता है","summary":"GitHub एआई एन्कोडिंग एजेंटों द्वारा बड़े कोड उत्पन्न करने की समस्या को हल करने के लिए स्टैक्ड पुल अनुरोध (स्टैक्ड पीआर) का उपयोग करने का परिचय देता है जिसे सेंसर करना मुश्किल है। डेटा, एपीआई, वायरिंग और यूआई के आधार पर बड़े अंतर की 1,000+ पंक्तियों को चार स्वतंत्र परतों में विभाजित करके—L1-L4—, प्रत्येक परत अलग-अलग समीक्षकों को अलग-अलग स्तरों पर असाइन कर सकती है।","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"GitHub AI-जनरेटेड बड़े पैमाने पर कोड को तोड़ने के लिए स्टैक्ड पुल अनुरोधों का उपयोग कैसे करता है - Aioga AI समाचार","description":"GitHub एआई एन्कोडिंग एजेंटों द्वारा बड़े कोड उत्पन्न करने की समस्या को हल करने के लिए स्टैक्ड पुल अनुरोध (स्टैक्ड पीआर) का उपयोग करने का परिचय देता है जिसे सेंसर करना मुश्किल है। ड...","url":"https://www.aioga.com/hi/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:02:47.184Z"},"it":{"title":"Come GitHub utilizza pull request impilate per scomporre il codice massiccio generato dall'IA","summary":"GitHub introduce l'uso di Pull Request stackate (stacked PR) per risolvere il problema degli agenti di codifica AI che generano codice di grandi dimensioni difficile da censurare. Dividendo 1.000+ righe di grandi differenziali in quattro livelli indipendenti—L1-L4—basati su dati, API, cablaggio e UI, ogni livello può assegnare revisori diversi a livelli differenti.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"Come GitHub utilizza pull request impilate per scomporre il codice massiccio generato dall'IA - Aioga Notizie IA","description":"GitHub introduce l'uso di Pull Request stackate (stacked PR) per risolvere il problema degli agenti di codifica AI che generano codice di grandi dimensioni difficile da censurare....","url":"https://www.aioga.com/it/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:02:56.179Z"},"nl":{"title":"Hoe GitHub gestapelde pull requests gebruikt om door AI gegenereerde enorme code te ontleden","summary":"GitHub introduceert het gebruik van gestapelde pull requests (gestapelde PR) om het probleem op te lossen van AI-encoding agents die grote code genereren die moeilijk te censureren is. Door 1.000+ rijen grote differentiaalpunten op te splitsen in vier onafhankelijke lagen—L1-L4—op basis van data, API, bedrading en UI, kan elke laag verschillende beoordelaars aan verschillende niveaus toewijzen.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"Hoe GitHub gestapelde pull requests gebruikt om door AI gegenereerde enorme code te ontleden - Aioga AI-nieuws","description":"GitHub introduceert het gebruik van gestapelde pull requests (gestapelde PR) om het probleem op te lossen van AI-encoding agents die grote code genereren die moeilijk te censureren...","url":"https://www.aioga.com/nl/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:02:57.413Z"},"tr":{"title":"GitHub, yapay zeka tarafından oluşturulan devasa kodu parçalamak için yığılmış pull requestleri nasıl kullanıyor?","summary":"GitHub, sansürlenmesi zor olan büyük kod üreten yapay zeka kodlama ajanları sorununu çözmek için yığılmış Pull Requests (stacked PR) kullanımını tanıtıyor. Veri, API, kablolama ve kullanıcı arayüzüne dayalı olarak 1.000+ büyük diferensiyeti dört bağımsız katmana — L1-L4 — bölerek, her katman farklı inceleyicileri farklı seviyelere atayabiliyor.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"GitHub, yapay zeka tarafından oluşturulan devasa kodu parçalamak için yığılmış pull requestleri nasıl kullanıyor? - Aioga AI Haberleri","description":"GitHub, sansürlenmesi zor olan büyük kod üreten yapay zeka kodlama ajanları sorununu çözmek için yığılmış Pull Requests (stacked PR) kullanımını tanıtıyor. Veri, API, kablolama ve...","url":"https://www.aioga.com/tr/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:03:06.115Z"},"vi":{"title":"Cách GitHub sử dụng pull requests xếp chồng để phân tích mã nguồn khổng lồ do AI tạo ra","summary":"GitHub giới thiệu việc sử dụng Pull Requests xếp chồng (stacked PR) để giải quyết vấn đề các tác nhân mã hóa AI tạo ra mã lớn khó kiểm duyệt. Bằng cách chia 1.000+ dòng vi sai lớn thành bốn lớp độc lập—L1-L4—dựa trên dữ liệu, API, hệ thống dây điện và giao diện người dùng, mỗi lớp có thể phân bổ các reviewer khác nhau ở các cấp độ khác nhau.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"Cách GitHub sử dụng pull requests xếp chồng để phân tích mã nguồn khổng lồ do AI tạo ra - Tin tức AI Aioga","description":"GitHub giới thiệu việc sử dụng Pull Requests xếp chồng (stacked PR) để giải quyết vấn đề các tác nhân mã hóa AI tạo ra mã lớn khó kiểm duyệt. Bằng cách chia 1.000+ dòng vi sai lớn...","url":"https://www.aioga.com/vi/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:03:05.093Z"},"id":{"title":"Bagaimana GitHub menggunakan pull request bertumpuk untuk memecah kode besar yang dihasilkan AI","summary":"GitHub memperkenalkan penggunaan stacked Pull Request (stacked PR) untuk mengatasi masalah agen encoding AI yang menghasilkan kode besar yang sulit untuk disensor. Dengan membagi 1.000+ baris diff besar menjadi empat lapisan independen—L1-L4—berdasarkan data, API, wiring, dan UI, setiap lapisan dapat menugaskan reviewer yang berbeda ke level yang berbeda.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"Bagaimana GitHub menggunakan pull request bertumpuk untuk memecah kode besar yang dihasilkan AI - Berita AI Aioga","description":"GitHub memperkenalkan penggunaan stacked Pull Request (stacked PR) untuk mengatasi masalah agen encoding AI yang menghasilkan kode besar yang sulit untuk disensor. Dengan membagi 1...","url":"https://www.aioga.com/id/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:03:14.833Z"},"th":{"title":"วิธีที่ GitHub ใช้ pull request แบบซ้อนกันเพื่อแยกโค้ดขนาดใหญ่ที่สร้างโดย AI","summary":"GitHub แนะนําการใช้ stacked Pull Requests (stacked PR) เพื่อแก้ปัญหา AI ที่เข้ารหัสเอเจนต์สร้างโค้ดขนาดใหญ่ที่เซ็นเซอร์ได้ยาก โดยการแบ่งแถวของ large diff กว่า 1,000+ แถวออกเป็นสี่ชั้นอิสระ—L1-L4—โดยอิงจากข้อมูล, API, การเดินสาย และ UI แต่ละชั้นสามารถกําหนดผู้ตรวจสอบต่าง ๆ ให้กับแต่ละระดับได้","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"วิธีที่ GitHub ใช้ pull request แบบซ้อนกันเพื่อแยกโค้ดขนาดใหญ่ที่สร้างโดย AI - ข่าว AI Aioga","description":"GitHub แนะนําการใช้ stacked Pull Requests (stacked PR) เพื่อแก้ปัญหา AI ที่เข้ารหัสเอเจนต์สร้างโค้ดขนาดใหญ่ที่เซ็นเซอร์ได้ยาก โดยการแบ่งแถวของ large diff กว่า 1,000+ แถวออกเป็นสี่ช...","url":"https://www.aioga.com/th/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:03:13.975Z"},"pl":{"title":"Jak GitHub wykorzystuje stosowane pull requesty do rozkładania ogromnego kodu generowanego przez AI","summary":"GitHub wprowadza wykorzystanie stacked Pull Requestów (stacked PR), aby rozwiązać problem agentów kodujących AI generujących duży kod, trudny do ocenzurowania. Dzieląc 1 000+ wierszy dużych różnic na cztery niezależne warstwy — L1-L4 — oparte na danych, API, okablowaniu i interfejsie, każda warstwa może przypisać różnych recenzentów do różnych poziomów.","category":"技巧观点","source":"GitHub Blog","aggregationSource":"GitHub Blog","pageTitle":"Jak GitHub wykorzystuje stosowane pull requesty do rozkładania ogromnego kodu generowanego przez AI - Aioga Wiadomości AI","description":"GitHub wprowadza wykorzystanie stacked Pull Requestów (stacked PR), aby rozwiązać problem agentów kodujących AI generujących duży kod, trudny do ocenzurowania. Dzieląc 1 000+ wiers...","url":"https://www.aioga.com/pl/news/cmsewck8518x6ro2e32q4bksr/","contentTranslated":true,"sourceHash":"72ae10345c699638","translatedAt":"2026-08-04T17:03:23.543Z"}}}}