More Sustainable Software with Tom Kerkhove

What does it take to make more environmentally sustainable software? Carl and Richard talk to Tom Herkhove about Microsoft's efforts to make carbon footprint and emissions visible for applications. Tom talks about the Azure API Management interface as a great starting point, and the ability to shift workloads to low-emission data centers as needed. The conversation also digs into wasted cycles, like automatically fired CI/CD pipelines whose results are never reviewed. It all begins with measuring - what action you take from there is up to you!

How are large language models going to change the way we use Visual Studio? Carl and Richard speak with Leslie Richardson about her work in Visual Studio, starting with the debugger and now focusing on the broader productivity features of the product. Leslie discusses how various Copilots are being integrated into Visual Studio to help users take advantage of the vast array of features available, which can sometimes be difficult to discover. The upcoming Visual Studio 2026 is available as an insider's preview if you want to get a jump on what's coming!

How are folks adapting to the new tools available for development today? Carl and Richard talk to Brady Gaster about his work on improving the tooling for software development at Microsoft - and the transformation that is currently underway! Brady talks about developers doing app modernization, dealing with the challenges of the cloud, and the many fun things you get to do as software developers over the years - and how there's only more coming!

Ready to integrate build automation into your applications? Carl and Richard talk to Mattias Karlsson about the new Cake.SDK as an additional component of the Cake (C# Make) open source project. Mattias talks about integrating the Cake scripting experience into your .NET console applications. The conversation digs into speeding up the building of infrastructure for testing and pre-production environments so that you can get features shipped quickly!

How do you build quality software with LLMs? Carl and Richard talk to Den Delimarsky about the GitHub Spec Kit, which uses specifications to help LLMs generate code for you. Den discusses the iterative process of refining specifications to produce better code, and then being able to add your own code without disrupting the process. The conversation delves into this new style of software development, utilizing specifications to break down tasks sufficiently for LLMs to be successful, and explores the limitations that exist today.

The next version of CSLA is out! Carl and Richard talk to Rocky Lhotka about his business objects framework that pre-dates .NET itself! Rocky discusses the surge in development that occurred for version 9, where a company heavily dependent on CSLA contracted developers to clear some of the backlog. The result is a few new long-term contributors, resulting in an increased development candence and a substantial modernization of the code base. The conversation also turns to AI and its role in development, as well as Rocky's experiments with making an MCP server for CSLA!

Aspire has been around for almost two years. How do you use it effectively? Carl and Richard talk to Chris Klug about his experience with .NET Aspire. Chris discusses thinking cloud natively, whether you are going to the cloud or not - it's not just a place, but also an architecture. The conversation digs into the role of containers and Kubernetes, deployment strategies, telemetry, security, testing, and more. You can use as much or as little Aspire as you wish!

You write tests - but are they valuable tests? Carl and Richard talk to Egil Hansen about his approach to creating tests for applications. Egil discusses the types of testing and who they impact. Testing isn't only for you! Valuable tests are also durable, being able to persist between changes where it makes sense, and help to understand when updates are going to create problems. The role of LLMs in generating code comes into play: should AI write your tests, evaluate them, or do both? Lots of great thinking from someone who's been helping developers build better tests for years!

AI in the cloud dominates, but what can you run locally? Carl and Richard speak with Joe Finney about his work in setting up local machine learning models. Joe discusses the non-LLM aspects of machine learning, including the vast array of models available at sites like Hugging Face. These models can help with image recognition, OCR, classifiers, and much more. Local LLMs are also a possibility, but the hardware requirements become more significant - a balance must be found between cost, security, and productivity!

How has AI changed coding with Visual Studio Code? Carl and Richard talk to James Montemagno about his experiences using the various LLM models available today with Visual Studio Code to build applications. James talks about the differences in approaches between Visual Studio and Visual Studio Code when it comes to AI tooling, and how those tools continue to evolve. The conversation also digs into how different people use AI tools to answer questions about errors, generate code, and manage projects. There's no one right way - you can experiment for yourself to get more done in less time!