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Rob  Bos

Rob Bos

Netherlands

Rob has a strong focus on ALM and DevOps, automating manual tasks and helping teams deliver value to the end-user faster, using DevOps techniques. This is applied on anything Rob comes across, whether it’s an application, infrastructure, serverless or training environments. Additionally, Rob focuses on the management of production environments, including dashboarding, usage statistics for product owners and stakeholders, but also as part of the feedback loop to the developers. A lot of focus goes to GitHub and GitHub Actions, improving the security of applications and DevOps pipelines. Rob is a Trainer (Azure + GitHub), a Microsoft MVP, GitHub Star, and a LinkedIn Learning Instructor. He regularly shares his knowledge through blogs, videos, and speaking at international conferences.

Community Contributions

DevSum: Protect your code with GitHub security features

Creating modern software has a lot of moving parts. We all build on top of the shoulders of giants by leveraging closed/open source packages or containers that other people have shared. That makes securing our software a lot more complex as well! In this session you'll learn what possible attack vectors you need to look for, how to protect yourself against them and how to leverage GitHub's features to make your life easier! Topics: Signed Commits Dependabot updates Dependency scanning for known vulnerabilities Secret scanning (and revoking) out of the box Using CodeQL

Speaking (conference/usergroups) / 06-02-2026

GitHub Copilot: Smarter Software Delivery at Scale

Deliver more software value, faster—by scaling GitHub Copilot across enterprise development teams. This in-person session is built for organizations that are already experimenting with GitHub Copilot and now want to unlock full impact through education, best practices, and scalable adoption. We’ll explore what it takes to move beyond isolated pilots and drive measurable outcomes across large engineering organizations. What You’ll Learn Highlights include: How GitHub Copilot supports the AI-powered Software Development Lifecycle (AI-SDLC) Moving beyond code completion toward agentic workflows Real-world lessons learned from scaling Copilot across large teams Enterprise considerations: governance, security, and responsible adoption How GitHub’s broader platform suite enables secure, enterprise-grade delivery Event Details: Date: Tuesday, March 31st Time: 12:00 – 16:30 Venue: Microsoft Netherlands, Schiphol Hosted by: Xebia, Microsoft, and GitHub Attendance: Limited seating

Speaking (conference/usergroups) / 03-31-2026

Adopt, Enable and Scale GitHub Copilot

Learn how to grow your GitHub Copilot users from an initial Proof of Value into a full fledged adoption program to reach all of your engineers. Date: March 19th | 13:00 – 14:00 (1h) CET Session language: English Key Takeaways Share benefits of GitHub Copilot as an internal story Grow an engineering community to learn from each other Take time to absorb the new way of working into the organization Who It Is For Engineering leads, technical program managers, CTO, Head of DevEx Why You Should Join You have introduced GitHub Copilot in your organization and see low adoption You don't have GitHub Copilot yet in your organization and wonder what the best approach is You are considering different AI coding tools and are wondering what you need to look out for

Video/Podcast / 03-19-2026

AI Engineering Fluency Metrics - VS Code Extension Track your GitHub Copilot token usage and AI Fluency across VS Code, Visual Studio, and the command line. All data is read from local session logs — nothing leaves your machine unless you opt in to cloud sync. Supported AI engineering tools: -VS Code + GitHub Copilot (Stable, Insiders, Exploration) -VSCodium / Cursor -GitHub Copilot CLI -OpenCode + GitHub Copilot -Crush + GitHub Copilot -Claude Code (Anthropic) -Visual Studio + GitHub Copilot

AI Engineering Fluency Metrics - VS Code Extension Track your GitHub Copilot token usage and AI Fluency across VS Code, Visual Studio, and the command line. All data is read from local session logs — nothing leaves your machine unless you opt in to cloud sync. Supported AI engineering tools: -VS Code + GitHub Copilot (Stable, Insiders, Exploration) -VSCodium / Cursor -GitHub Copilot CLI -OpenCode + GitHub Copilot -Crush + GitHub Copilot -Claude Code (Anthropic) -Visual Studio + GitHub Copilot

Open source project / 12-01-2025

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