.NET Rocks!

How do you balance architecture and code? Carl and Richard talk to Steve Smith about various architectural strategies and the swing back-and-forth against over-designing architecture and getting code written. Steve talks about how architecture changes depending on the size and number of teams, how the latest tools can

Open Source Maintainers are burning out or going commercial - how do we solve this? Carl and Richard chat with Rob Mensching about his work to create the open source maintenance fee through GitHub. Rob talks about the common problem of single maintainers getting buried under issues and demands of consumers for a projec

How can a large language model help your organization answer government RFPs? Carl and Richard talk to Vishwas Lele about his startup pWin, as in proposal win. Vishwas talks about being a year into the startup and his deeper understanding of how AI technologies can augment skilled operators to produce better quality pr

Can you integrate performant audio-video into your .NET application? Carl and Richard talk to Elias Puurunen about his work at Tractus Events, where he uses the NDI protocols to bring real-time audio and video streams into his C# application. Elias talks about the power of P/Invoke to access the underlying libraries fo

Ready to build an agentic AI in .NET? Carl and Richard talk to Spencer Schneidenbach about his work using large language models to enhance customer interactions in healthcare. Spencer discusses using the LLMs to summarize customer conversations to identify topic areas, sentiment, and other concerns. He digs into how Mi

How do you measure the quality of a large language model? Carl and Richard talk to Dr. Jodie Burchell about her work measuring large language models for accuracy, reliability, and consistency. Jodie talks about the variety of benchmarks that exist for LLMs and the problems they have. A broader conversation about qualit