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#dotnet

140 messages79 participants3 messages aujourd’hui
Public *
Caroline Bell :QueerCat_Trans:

Hey I'm still looking for work.
I've applied to a lot of places in my area and I'm getting nothing.

I'm a programmer at heart, but I've also been looking for regular entry-level jobs because there haven't been any coding positions open at my level as far as I could tell.

If you can offer me a job, it might save my butt. And if you can't offer me a job, could you at least share this post?

I live 30 minutes away from Bellevue if that helps.

#fedihire#getfedihired#programmerforhire
Public
Dev Leader

Do you use enums in CSharp?

I come across enum usage in CSharp code bases frequently, but often I feel like people misuse them.

Enums look like a combination of a string and an integer -- So we get readability for our "magic numbers". By doing this, we can write more expressive code.

But using enums to represent sets of values that can change over time can be problematic!

Check out the article:
devleader.ca/2023/11/15/enums-

#csharp#dotnet#dotnetcore
Public
Andrew Bennett

The latest update to VS 2022 that came out today included the .NET 9.0.4 runtime on my local box but, more than an hour later, I still can't download it from dotnet.microsoft.com/en-us/dow.

This is not the first time I've had to wait for hours after the 10:00 AM PT release of patches and updates on Patch Tuesday to be able to download the updated runtime from the download site.

MicrosoftDownload .NET 9.0 (Linux, macOS, and Windows).NET 9.0 downloads for Linux, macOS, and Windows. .NET is a free, cross-platform, open-source developer platform for building many different types of applications.
#dotnet
Public
Alvin Ashcraft

Azure & DevOps Podcast Episode 344 - AI in .NET with Stephen Toub and host Jeffrey Palermo. feed.azuredevops.show/ai-in-net-wi... #devcommunity #podcast #ai #dotnet #msdn

Azure & DevOps Podcast: AI in ...

feed.azuredevops.showAzure & DevOps Podcast: AI in .NET with Stephen Toub - Episode 344Stephen 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: — New Video Podcast! Email us at . (Sponsor) , by Jeffrey Palermo   Want to Learn More? Visit for show notes and additional episodes.
Public
Alvin Ashcraft 🐿️

Azure & DevOps Podcast Episode 344 - AI in .NET with Stephen Toub and host Jeffrey Palermo.

feed.azuredevops.show/ai-in-ne

feed.azuredevops.showAzure & DevOps Podcast: AI in .NET with Stephen Toub - Episode 344Stephen 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: — New Video Podcast! Email us at . (Sponsor) , by Jeffrey Palermo   Want to Learn More? Visit for show notes and additional episodes.
#devcommunity#podcast#ai
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