How are Azure Static Websites evolving? Carl and Richard talk to Stacy Cashmore about her work with Azure Static Websites, including an update to her book, which is coming soon! Stacy talks about adapting to the latest version of .NET, taking advantage of some of the new features in Blazor, and new Azure Static Website capabilities, including the new Data API Builder. The conversation also explores some of the gotchas, like challenges with SEO and dealing with authentication and authorization strategies.

Let's talk about .NET 9 with one of the platform's leaders! Carl and Richard talk to Glenn Condron about his experiences building .NET 9. Glenn talks about the usual improvements in every version of .NET, including performance, security, and stability. But the new stuff is where the excitement is, starting with Aspire. The conversation digs deeper into the origin story of Aspire and what the team sees as the future of building cloud-native applications with .NET. Then, a dive into all things AI - tools to help developers create applications, as well as how to include AI capabilities in your applications. And there's more to come - .NET 10 is only a year away!

Ready for more Rockstar? Carl and Richard chat with Dylan Beattie about the programming language known as Rockstar. Dylan talks about a joke that got wildly out of hand - back when recruiters were all about rockstar developers, why shouldn't there be a programming language? And then it happened - a language where the code looks (and sounds) like glam rock lyrics! And now there's a new version coming - more rocking to be done!

How do you balance the coupling in your application? Carl and Richard talk to Vlad Khononov about his book on Balancing Coupling in Software Design. Vlad talks about three aspects of coupling - information, distance, and volatility. When these aspects are out of balance, such as a pair of services that are distant from each other but highly dependent and need lots of information, development becomes difficult. Where information is high, keeping the distance low makes life easier. This led to a great conversation about Conway's Law and the idea that sometimes changing the team organization can lead to better application development! Check out the book!

What's coming for Blazor in .NET 9? Carl and Richard talk to Dan Roth about the upcoming version of Blazor. Dan discusses excellent performance improvements, better MAUI interactions, new SignalR features, and more! The conversation also dives into how Blazor gets made and the journey that submitting issues into GitHub goes through to become features in the Blazor framework. It takes a while, but you can be part of making Blazor great!

What does it mean to build cloud-native applications? Carl and Richard talk to Chris Klug about his experiences building applications designed to operate effectively in the cloud. Chris pushes back on the fixation around Kubernetes - you can build cloud-native apps without it! The conversation digs into the various options available to take advantage of the cloud's ability to scale while also tolerating its occasional short-duration outages and shifting availability. Chris also talks about .NET Aspire and its ability to help you build .NET cloud-native applications.

What has Chris Sells been up to? Carl and Richard chat with Chris Sells, the guest on episode 10 back in 2002, about how his career continues to evolve. Chris talks about working at Google on Flutter, the mobile dev stack - before departing for Meta to work on the tooling for augmented reality. The conversation digs into how AR appears to be the logical evolution of mobile but has been completely overwhelmed by artificial intelligence. Chris has left Meta to work on AI technologies and sees huge potential in making better applications than ever before!

How do you make your own copilot? Carl and Richard talk to Prashant Bhoyar about his work with Copilot Studio and Azure AI Studio. Prashant describes how Copilot Studio lives in the Power Platform space while Azure AI Studio is more related to Visual Studio, in that it is a tool for developers of AI technology. Anything built in Azure AI Studio can be surfaced in Copilot Studio - another kind of fusion development! Lots of conversation about what works well and what is difficult with these tools, and how to avoid some critical mistakes!

Ready for a chat with the creator of Node? Carl and Richard talk to Ryan Dahl about his work creating NodeJS in 2009 and how he moved on after a few years, leading to the creation of Deno, an opinionated approach to building web applications. Ryan talks about the challenges of simplifying web development by combining all the important things into a single set of tools—saving you the effort of assembling those things yourself. The conversation also digs into how web development has evolved and one of Ryan's current efforts - convincing Oracle to surrender the JavaScript trademark to the world!

How simple can you make software development? Carl and Richard talk to Mark Rendle about his focus on simplicity in building software - as simple as possible. Mark talks about the tendency of developers, sometimes through no fault of their own, to use what is new and cool in development, regardless of how practical or necessary it actually is. The conversation digs into the ongoing battle around cloud-native development using technologies like Kubernetes. You can be cloud native with more straightforward approaches! The same applies to web frameworks - there are lots of choices. Build as little as necessary!

Can you do mob programming remotely? Carl and Richard talk to Ulrika Malmgren about mob, or team programming - where three to five developers work together on the same problem, rotating keyboard control and collaborating to write the best possible code. Modern tools like Teams and Zoom make it easy to do the same programming style with everyone remotely! Ulrika talks about how team programming becomes the standard approach to development - as opposed to solo programming, where everyone works separately and then has to spend time sharing what they've done! Good team programming results in higher-quality code in less time - and more happiness!

What can machine learning do for geospatial data? Carl and Richard talk to Malte Loller-Anderson and Mathilde Ørstavik about their work at Norkart, using aerial imagery to build detailed maps around Norway. Mathilde dives into the critical role of machine learning - identifying buildings in images. Usually done by hand with each new image, Norkart has a machine learning model that automates the process trained on previous vector maps of buildings. But there are many things that look like buildings in Norway, including patches of snow, mountains, and even shapes under water. Malte also discusses how Norkart has decided to train in-house with nVidia L40 processors rather than in the cloud - the hardware is used 24 hours a day since some models can take weeks to train! There are many interesting ideas about geospatial data and machine learning from people who have been doing it for years.