Azure & DevOps Podcast

• Jeff Sutherland: The History of Agile - Episode 348

  Jeff is the co-creator of Scrum and a leading expert on how the Scrum framework has evolved to meet the needs of today’s business. The framework he developed in 1993 and formalized in 1995 with Ken Schwaber has since been adopted by the vast majority of software development companies around the world. However, Jeff realized that the benefits of Scrum are not limited to software and product development. He has adapted this successful strategy for several other industries, including finance, healthcare, higher education, and telecom.   As the CEO of Scrum Inc. Jeff sets the vision for success with Scrum. He continues to share best practices with organizations around the globe and has written extensively on Scrum rules and methods. With a deep understanding of business process — gleaned from years as CTO/CEO of eleven different software companies — Jeff is able to describe the high-level organizational benefits of Scrum and what it takes to create hyperproductive teams.   Topics of Discussion: [:35] Introduction of Jeff Sutherland, co-creator of Scrum. [3:47] Jeff Sutherland’s background: His experience at West Point and lessons in making work visible. [5:19] Fighter pilot experiences that influenced the operational side of Scrum. [6:02] Transition to the Air Force Academy and work in AI at Stanford. [7:38] Learning complex adaptive systems and the origin of Agile from complex systems theory. [8:30] How complex systems theory impacts Scrum and Agile teams today. [9:25] Jeff’s first experiences applying Scrum in the banking industry. [11:25] The development of Scrum and the 2001 Agile Manifesto. [12:57] Making work visible and organizing teams, from West Point to Toyota to the Agile Manifesto. [13:23] Fast forward to 2024: Issues in Scrum and Agile practices, including sprint lengths and backlog grooming. [14:34] Jeff’s new book: First Principles in Scrum and its relation to Scrum technology stacks. [16:23] Building autonomous systems: Lessons from radiation physics, AI, and complex adaptive systems. [19:16] The influence of autonomous robots on the creation of Scrum. [21:14] Discussion of Scrum and AI, leading to “Extreme Agile.” [22:47] Predictions for the future of Scrum and Agile: Teams becoming 30 to 100 times faster by 2030. [23:37] Example of AI in action: Developing a system to handle expense reports using Scrum principles. [29:37] Challenges with AI-generated code and the need for strong software architecture knowledge. [33:24] The importance of following Scrum “by the book” to achieve hyperproductivity. [35:30] Jeff’s closing advice on adapting to extreme agile to stay competitive by 2030.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo “How the Agile Manifesto Came To Be” Become a beta tester for Jeff Sutherland's AI software project for expense reports: [email protected]   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• Adrienne Braganza Tacke: Code Review Patterns & Principles - Episode 347

  Adrienne Braganza Tacke is an accomplished author and software engineer with a passion for educating others about software development. Choosing a path distinct from the expected trajectory of nursing, she pursued a degree in management information systems at the University of Nevada, Las Vegas. Over the course of nearly eight years in the field, she has contributed her expertise across multiple industries, including healthcare and higher education. Currently, she serves as a software development engineer at DebtTrader, where she embraces the challenge of modernizing fintech workflows traditionally dependent on spreadsheets.   Beyond her professional work, Adrienne is an international speaker, instructor, and dedicated advocate for STEM education. Her first book, Coding for Kids: Python, has consistently ranked among the top-selling children's programming books on Amazon. She frequently visits schools to inspire students with insights into software engineering and the transformative power of coding. When she’s not engaging with young aspiring developers, she speaks at tech conferences throughout the U.S. and Europe. Follow her on Twitter and Instagram (@AdrienneTacke) to stay updated on her latest endeavors.   Topics of Discussion: [3:20] Adrienne’s journey and the happy accidents and formative moments that led her to working in this field. [5:46] What does a developer advocate do? [7:04] Adrienne started teaching in 2017, when tech influencers were starting to become more popular. [9:02] There is no one-size-fits-all about the code review process, and what it looks like will be different for every team. [11:19] The price of ineffective communication. [15:30] The power of fixing things during development and before the code review. [19:10] Adrienne gives a few real-life examples of time wasters in code reviews. [22:08] More about Adrienne’s book, Looks Good to Me: Constructive Code Reviews, and how it can help streamline and save time.  [23:44] Like Adrienne’s chapter title, if you can automate it — do it. [26:51] There are still errors that won’t be caught by static analysis. [30:46] Some tips to remember when using AI, like making sure your titles are descriptive. [36:17] Maybe an “auto-polite” button is coming soon? We wish.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo Looks Good to Me: Constructive Code Reviews CodeRabbit OFFER: First listener to use the code gets a free copy of the book: "braganza-FBEE"Instructions: 1. Go to book link (https://www.manning.com/books/looks-good-to-me) 2. Follow purchase process 3. Apply coupon (braganza-FBEE) at checkout Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• April Yoho: GitHub in 2025 - Episode 346

  April is a senior developer advocate and DevOps practice lead for GitHub, specializing in application transformation and DevOps ways of working. Her focus is working on Microsoft Azure to take customers on a journey from legacy technology to serverless and containers, where code comes first, while enabling them to take full advantage of DevOps. April was previously a cloud consultant and solution architect for various partners in the UK and brings her years of experience in helping customers plan their journey. She also serves as a Hashicorp Ambassador, dedicating much of her time to working with infrastructure as code (IaC). She enjoys making Azure and its features more accessible. Her technical expertise includes PowerShell, Golang, and occasionally TypeScript and C#. In her free time, April enjoys outdoor activities such as hiking, skiing, and scuba diving. Additionally, she is a triathlete who competes in Ironman and Half Ironman events.   Topics of Discussion: [1:57] April’s career journey — from U.S. data center outages and 72-hour shifts to discovering cloud and automation after relocating to the U.K. [3:53] How an early Azure migration in 2013 ignited her passion for infrastructure as code and DevOps. [5:33] GitHub’s evolution into a full end-to-end enterprise platform, with a major focus on security, scalability, and developer productivity. [6:51] Code Spaces: VS Code in the cloud with 60 hours free per user — solving compute and environment parity issues across teams. [10:00] GitHub’s internal use of Code Spaces: every GitHub employee (aka “Hubber”) uses it to work on the github.com codebase. [12:29] Code Spaces’ advantages in lab and hackathon settings, including speed, security, and reliability. [13:55] Breakdown of GitHub Copilot’s flavors: chat, inline suggestions, edits, pull request reviews, and agentic AI. [17:12] Real-world uses of Copilot Edits: generating documentation, writing tests, and making cohesive multi-file changes. [20:00] GitHub’s goal of enabling the “10x developer,” not just in speed but in quality, consistency, and creativity. [25:00] How AI tooling is changing how we think about architecture, code reuse, and shrinking monoliths into modular libraries. [30:00] Prompting strategies: how different cultures and languages impact the way developers interact with AI tools. [32:47] GitHub Workspaces: start from requirements, generate a plan, and get a head start on writing and converting code. [35:00] April’s belief that AI-driven development is already here, and edits are one of the best ways to experience that transformation now.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo .Net Aspire and Data API builder with the Community April on GitHub April on LinkedIn April on X Universe 2024: GitHub Embraces Developer Choice with Multi-Model Copilot, New App Tool GitHub Spark, and AI-Native Developer Experience CoPilot Workspace GitHub Spark   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• Jerry Nixon: .NET Aspire and Databases - Episode 345

  Jerry Nixon is a Principal Program Manager on the SQL Server team focused on the Data API builder. He’s also a fanatic for #CSharp, #StarTrek, and Etymology. He also serves as a professor at Colorado Christian University.   Topics of Discussion: [3:34] Why Jerry describes his life as a pearl necklace. [5:15] Jerry recommends the book Never Eat Alone and the importance of community. [6:01] How engineers and parenting are aligned. [7:02] Jerry reflects on Microsoft’s history of evangelism, the rise of “opinionated” frameworks, and how .NET Aspire revives a form of proven prescriptive guidance. [9:35] Prescriptive guidance. [12:03] The inevitable evolution of .NET Aspire and how it simplifies container-based development by handling orchestration behind the scenes. [16:56] Paying more attention and awareness to the developer community. [18:30] How GraphQL fits into the Data API Builder experience, giving developers flexibility without needing to write complex backends. [21:40] Jerry talks about community feedback on Data API Builder and how real-world use cases help prioritize features and fix gaps in tooling. [31:02] Jerry’s perspective on building container-based solutions. [32:15] Data API Builder’s community involvement and upcoming features. [36:15] Docker Desktop. [38:58] The architectural concept of Data API Builder. [44:42] C# coding conventions at Microsoft and the friendly battles over things like naming, underscores, and formatting styles across internal teams.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo .Net Aspire and Data API builder with the Community Jerry on LinkedIn Jerry Nixon Github Colorado Christian University Data API builder for Azure Databases samples Common C# code conventions What is Data API Builder? Quickstart: Use Data API builder with SQL   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• Stephen Toub: AI in .NET - Episode 344

  Stephen Toub is a Partner Software Engineer at Microsoft. Stephen has been at Microsoft for almost 24 years and has done it all. If it has to do with .NET, he’s been in it. And today, he looks after all the .NET libraries making sure .NET continues to be the fastest platform on the planet.  He ran the MSDN Magazine before it morphed into the docs and blogs of today. He was a leader in the concurrency and async and parallel programming developments, and now he’s turned his attention to pushing the AI envelope with .NET.   Topics of Discussion: [4:37] Stephen morphed a few of his many interests into the role he has today.  [6:04] How moments like the push for parallel computing, the open-sourcing of .NET, cross-platform support, and performance goals shaped Steven’s current focus. [7:37] Steven highlights the two major AI tracks: (1) AI-augmented tools that improve developer productivity, and (2) building AI capabilities into applications themselves. [10:37] The future of user interfaces.  [12:43] Why “agents” are basically advanced actor-based systems empowered by large language models and tool calling, enabling reasoning and orchestration beyond simple Q&A. [23:22] Model context protocol.  [24:08] A paradigm shift in system integration.  [30:24] How Stephen and the .NET libraries team factor out common AI abstractions for the ecosystem, so that different frameworks (Semantic Kernel, Onnx Runtime, Olama, etc.) can interoperate. [32:15] Steven gives examples of how minimal C# code, combined with locally hosted LLMs or cloud endpoints, can solve real tasks.    Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo Stephen on GitHub Stephen on LinkedIn Demystifying Retrieval Augmented Generation with .NET Suno csharp-sdk   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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