Yuki Hattori

Customer Success at Anthropic, based in Japan. Author and speaker on AI, software development, and open source.
Current Role
Anthropic (2026–Present)
- 2026/07–PresentCustomer Success
The first Customer Success team member on the ground in Japan. Bringing experience across customer success, software development, and open source into this next chapter.
Career History
GitHub (2023–2026)
Supported enterprise customers across APAC, with a focus on Japan. Helped organizations adopt GitHub Copilot through architectural guidance, executive engagement, and strategic advisory.
- 2026/03–2026/07Staff Customer Success Architect
- 2024/03–2026/02Senior Customer Success Architect
- 2023/02–2024/02Customer Success Architect
Microsoft Japan (2016–2023)
- 2021/04–2023/02Cloud Solution Architect — Application Development
- 2019/07–2021/03Azure Application Development Specialist
- 2019/05–2019/08Program Manager — Azure DevOps, Redmond HQ
- 2017/07–2019/07Technology Solutions Professional — Application Development
- 2016/04–2017/07Cloud Solution Architect — Application Development
InnerSource Commons Foundation (2023–2026)
Served on the board of the global nonprofit supporting InnerSource, including terms as Vice President and President.
- 2025/04–2026/07President
- 2024/04–2025/03Vice President
- 2023/04–2026/07Board Member
IPA (2025–2026)
- 2025/04–2026/07Technical Advisor
Provided guidance on OSPO establishment, open source governance, and SBOM security compliance for Japanese enterprises.
Education
Aoyama Gakuin University, Tokyo
- 2025Master, Business Administration — GPA: 4.0/4.0, Valedictorian
- 2016Bachelor, Business Administration, Minor in Statistics — GPA: 3.6/4.0
Publications
Books
- 2024Practical Guide to Generative AI for Software Developers Gihyo — Authored book on AI-powered development practices. IT Industry Bestseller, 3rd Printing.
- 2024DevOps Unleashed with Git and GitHub Packt EN — English-language book covering DevOps workflows, CI/CD, and collaboration with Git and GitHub.
Translation
- 2025개발자를 위한 생성형 AI 활용 가이드 (Practical Guide to Generative AI for Software Developers, Korean Edition) Gilbut KO — Korean translation of the Japanese bestseller on AI-powered software development practices.
- 2025Prompt Engineering for LLMs O'Reilly — Japanese translation. IT Industry Bestseller, 8th Printing.
- 2024Understanding the InnerSource Checklist O'Reilly — Japanese translation of the O'Reilly guide on evaluating and implementing InnerSource.
- 2023Getting Started With InnerSource O'Reilly — Japanese translation of the O'Reilly introduction to InnerSource practices.
Academia
- 2026An Empirical Investigation on Source Code Comprehension Performance Between Naming and Structural Issues with and without Generative AI Assistance IEEE TSE EN — Co-authored study of how generative AI assistance affects source code comprehension accuracy and time. IEEE Transactions on Software Engineering, early access.
- 2025InnerSource Circumplex Model arXiv JA EN — 211-page Master's thesis mapping cross-organizational developer collaboration patterns with insights from Japanese corporate experience.
Book Review, Technical Review & Contribution
- 2025Software Development Workstyle 2030 (Interview & Commentary) NTT Publishing — Featured interview and commentary on the future of software development in the AI era.
- 2025Learning Git and GitHub by Building, Breaking, and Fixing (Review) Shoeisha — Technical review for hands-on Git and GitHub learning guide.
- 2023Agile Practice Guidebook (Review) Shoeisha — Technical review for comprehensive agile development methodology guidebook.
Conference Speaking
Some links are external and may no longer be available.
- 2026/02Regional Scrum Gathering Tokyo 2026 — Beyond Budgeting Dialogue EN
- 2025/11GitHub Universe Recap 2025 Keynote YouTube
- 2025/11InnerSource Summit 2025 Keynote EN 500+ YouTube
- 2025/10Findy — AI時代のコーディングとコードレビューのこれから 350+
- 2025/10Japan IT Week — Special Interview Session 200+
- 2025/10Design Solution Forum 50+
- 2025/09Software Quality Symposium 270+
- 2025/09InnerSource Gathering EN 80+
- 2025/08DXPO Conference 140+
- 2025/07Developers Summit 2025 Summer — AI-Driven Development with Agents 120+
- 2025/06AI Study Session with Microsoft 1,100+
- 2025/04Meet with Dance Cooper — InnerSource Meetup EN 50+
- 2025/04The forefront of "co-creation" enabled by InnerSource 80+
- 2025/03AI-Driven Development Meetup #6 1,800+
- 2025/02Developers Summit 2025 100+
- 2024/11InnerSource Summit 2024 EN 200+
- 2024/11Generative AI Trends Overview 60+
- 2024/11AI First × AI Powered Development 40+
- 2024/11Python Study Group #110 70+
- 2024/11What Happens to Code Quality? Optimal Collaboration with Generative AI 620+
- 2024/11Platform × AI Powered Development 70+
- 2024/11Tomorrow's Development Conference 2024 30+
- 2024/11VS Code Meetup #32 — VS Code x Copilot 220+
- 2024/11Software Quality × AI Powered Development 360+
- 2024/11InnerSource Gathering Tokyo 2024 Autumn EN 40+
- 2024/10Open Source Summit 2024 EN 50+
- 2024/10Development Productivity × AI Powered Development 100+
- 2024/10Development Health Meetup — GitHub × Postman × Atlassian 110+
- 2024/10Agile × AI Powered Development 70+
- 2024/10Good Code / Bad Code × AI Powered Development 280+
- 2024/10Givery AI Events 170+
- 2024/10World-Class × AI Powered Development 140+
- 2024/10AI Powered Development — Practical Guide to Generative AI 450+
- 2024/09Software Quality Symposium 2024 Keynote 700+
- 2024/09GitHub Copilot LT Meetup 60+
- 2024/09AI-Driven Development Meetup #3 760+
- 2024/08InnerSource Gathering Tokyo 2024 EN Keynote 70+
- 2024/07Developers Summit 2024 Keynote 130+
- 2024/06Developer Productivity Conference 100+
- 2024/05AI-Driven Development Meetup #2 400+
- 2024/02AI-Driven Development Meetup #1 450+
- 2024/01Regional Scrum Gathering Tokyo 2024 — Bringing Open-Source Brilliance to Scrum Teams EN
- 2023/11InnerSource Summit 2023 EN YouTube
- 2022/12DevSecOps with GitHub and Microsoft Azure YouTube
- 2022/11InnerSource Summit 2022 EN YouTube
- 2022/10XP Festival 2022
- 2022/09Microsoft & GitHub DevOps Day 2022 YouTube Keynote 700+
- 2022/05Microsoft Build Japan YouTube Keynote
- 2022/04Day One – CTO/VPoE Conference 2022 YouTube
- 2022/02Microsoft Developer Days YouTube
- 2021/09CI/CD Conference 2021 by CloudNative Days YouTube
- 2021/08GitHub Codespaces Launch Event
- 2021/03GitHub Enterprise Summit
- 2021/02Developers Summit 2021
- 2020/06Microsoft de:code 2020
- 2020/02Developers Summit 2020
- 2019/12Microsoft Ignite The Tour 2019
- 2019/10CEDEC 2019
- 2018/11Microsoft Tech Summit 2018 YouTube
- 2018/05Microsoft de:code 2018
- 2017/11Microsoft Azure 徹底活用フェス
Interview Articles & Media
- 2025/06How Engineers Can Effectively Work with Generative AI Codezine
- 2025/06InnerSource approach to internal OSS activities Nikkei xTECH
- 2025/05What Remains Unchanged About the "Essence of Engineering" in the Age of AI Agents? Codezine
- 2024/12Code × AI Event Special Feature Findy
- 2024/12GitHub Universe 2024 Recap in ZOZO Zozo
- 2024/11What Skills Are Needed in an Era Where AI Writes Code? YouTrust
- 2024/04Generative AI-Native Development as Seen in GitHub Copilot Codezine
- 2022/08AI Source Code Auto-Generation — Services Emerging but Trust with Caution Nikkei xTECH
- 2021/11VS 2022 × GitHub Codespaces × Azure Developer Ecosystem Qiita
- 2021/10CI/CD Conference 2021 — Microsoft and GitHub Integration Think IT
- 2021/10Legacy Dev Teams Reaching Cloud-Native Development Environments ITmedia
- 2021/043 Key Points for Efficient Remote Development @IT
- 2021/03InnerSource Practices at Microsoft with GitHub Codezine
- 2020/04DX and Developer Tools for 2025's IT Talent Shortage @IT
- 2020/04Behind the Scenes of GitHub and Microsoft Releasing Features Codezine
- 2020/02Future Work Styles through Azure Collaboration Think IT
- 2018/12Migrating On-Prem LAMP to Azure PaaS ASCII
- 2017/12Microsoft Azure 徹底活用フェス@渋谷 EnterpriseZine
- 2016/11Why "Log Analysis" Matters in the Cloud Era @IT
Blog Posts
- 2025/10The Magic of InnerSource: 25 Years of Revolution EN
- 2025/08What It Means to Define InnerSource EN JA
- 2025/08InnerSource is a Lie — A Response to Common Misconceptions EN JA
- 2025/08Platform Engineering and InnerSource EN JA
- 2025/08Do It in Open Source Way — InnerSource in the AI Era EN JA
- 2025/01The Future Accelerated by AI × Platform Engineering
- 2025/01The Reality of Engineer Productivity Boosted by AI
- 2024/12Next-Generation Development with AI × Mob Programming
- 2025/05Why This Book Now? What "Build Your Future with Open Source" Teaches Us Medium
- 2019/04Don't Over-Trust CORS Medium
- 2019/04Are You Doing DevSecOps? Medium
- 2019/03How Microsoft Applied Agile Principles to Teams Medium
- 2019/03What is DevOps Medium
- 2019/03Microsoft's Journey to DevOps Medium
- 2018/10Microsoft Ignite 2018 Azure Updates Summary & Full Translation Qiita
- 2016/10Understanding Serverless Architecture with Azure Functions Qiita
- And more — Translated 1,100+ official Azure Updates into Japanese for the developer community before official localization was available.
Open Source & Community
- Copilot Patterns — Best practices for GitHub Copilot (364 stars) EN
- InnerSource Patterns — InnerSource best practices, maintainer (831 stars) EN
- InnerSource Commons Japan — Founder
- NoOps Community — Lead (1,600+ members)