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 help with architectural choices, and the challenge of effective refactoring when things need to change. Lots of great conversation!
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56:00
The Open Source Maintenance Fee with Rob Mensching
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 project. Recognizing that most people cannot contribute to the project, a maintenance fee helps support the maintainer in a low friction way for everyone involved. Check out the links to get started!
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1:06:00
AI for Government RFPs with Vishwas Lele
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 products in less time, including responding to RFPs. The conversation digs into tuning the LLM to focus on the data relevant to each section of the RFP so that the operator can interact with the tool and build better responses!
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55:00
Audio-Video in .NET with Elias Puurunen
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 for controlling video streams, including utilizing NVidia GPUs for extremely fast encoding and decoding. You could write this code in C++, but why?
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1:08:00
Agentic AI in .NET with Spencer Schneidenbach
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 Microsoft's Semantic Kernel makes connecting an OpenAI model to your APIs easy, fetching information and creating a context for testing reliability and consistency with these models. Check out the links for some great tools to help make your AI apps with .NET!
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