Old Developers using New Tools with Brady Gaster
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!
13 Marras 1h 1min
Cake.SDK with Mattias Karlsson
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!
6 Marras 48min
GitHub Spec Kit with Den Delimarsky
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.
30 Loka 1h 4min
CSLA 9 with Rocky Lhotka
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!
23 Loka 59min
Digging Deeper into .NET Aspire with Chris Klug
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!
16 Loka 55min
Valuable Testing with Egil Hansen
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!
9 Loka 54min
Local AI Models with Joe Finney
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!
2 Loka 55min
Visual Studio Code AI with James Montemagno
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!
25 Syys 1h 5min
