
Sign up to save your podcasts
Or
Stephen Toub is a Partner Software Engineer at Microsoft. Stephen has been at Microsoft for almost 24 years and has done it all. If it has to do with .NET, he’s been in it. And today, he looks after all the .NET libraries making sure .NET continues to be the fastest platform on the planet. He ran the MSDN Magazine before it morphed into the docs and blogs of today. He was a leader in the concurrency and async and parallel programming developments, and now he’s turned his attention to pushing the AI envelope with .NET.
Topics of Discussion:
[4:37] Stephen morphed a few of his many interests into the role he has today.
[6:04] How moments like the push for parallel computing, the open-sourcing of .NET, cross-platform support, and performance goals shaped Steven’s current focus. [7:37] Steven highlights the two major AI tracks: (1) AI-augmented tools that improve developer productivity, and (2) building AI capabilities into applications themselves.
[10:37] The future of user interfaces.
[12:43] Why “agents” are basically advanced actor-based systems empowered by large language models and tool calling, enabling reasoning and orchestration beyond simple Q&A. [23:22] Model context protocol.
[24:08] A paradigm shift in system integration.
[30:24] How Stephen and the .NET libraries team factor out common AI abstractions for the ecosystem, so that different frameworks (Semantic Kernel, Onnx Runtime, Olama, etc.) can interoperate.
[32:15] Steven gives examples of how minimal C# code, combined with locally hosted LLMs or cloud endpoints, can solve real tasks.
Mentioned in this Episode:
Clear Measure Way
Architect Forum
Software Engineer Forum
Programming with Palermo — New Video Podcast! Email us at [email protected].
Clear Measure, Inc. (Sponsor)
.NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo
Stephen on GitHub
Stephen on LinkedIn
Demystifying Retrieval Augmented Generation with .NET
Suno
csharp-sdk
Want to Learn More?
Visit AzureDevOps.Show for show notes and additional episodes.
4.6
2222 ratings
Stephen Toub is a Partner Software Engineer at Microsoft. Stephen has been at Microsoft for almost 24 years and has done it all. If it has to do with .NET, he’s been in it. And today, he looks after all the .NET libraries making sure .NET continues to be the fastest platform on the planet. He ran the MSDN Magazine before it morphed into the docs and blogs of today. He was a leader in the concurrency and async and parallel programming developments, and now he’s turned his attention to pushing the AI envelope with .NET.
Topics of Discussion:
[4:37] Stephen morphed a few of his many interests into the role he has today.
[6:04] How moments like the push for parallel computing, the open-sourcing of .NET, cross-platform support, and performance goals shaped Steven’s current focus. [7:37] Steven highlights the two major AI tracks: (1) AI-augmented tools that improve developer productivity, and (2) building AI capabilities into applications themselves.
[10:37] The future of user interfaces.
[12:43] Why “agents” are basically advanced actor-based systems empowered by large language models and tool calling, enabling reasoning and orchestration beyond simple Q&A. [23:22] Model context protocol.
[24:08] A paradigm shift in system integration.
[30:24] How Stephen and the .NET libraries team factor out common AI abstractions for the ecosystem, so that different frameworks (Semantic Kernel, Onnx Runtime, Olama, etc.) can interoperate.
[32:15] Steven gives examples of how minimal C# code, combined with locally hosted LLMs or cloud endpoints, can solve real tasks.
Mentioned in this Episode:
Clear Measure Way
Architect Forum
Software Engineer Forum
Programming with Palermo — New Video Podcast! Email us at [email protected].
Clear Measure, Inc. (Sponsor)
.NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo
Stephen on GitHub
Stephen on LinkedIn
Demystifying Retrieval Augmented Generation with .NET
Suno
csharp-sdk
Want to Learn More?
Visit AzureDevOps.Show for show notes and additional episodes.
271 Listeners
379 Listeners
291 Listeners
478 Listeners
624 Listeners
155 Listeners
588 Listeners
41 Listeners
214 Listeners
228 Listeners
984 Listeners
182 Listeners
245 Listeners
62 Listeners
142 Listeners