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#devcommunity

3 posts3 participants0 posts today
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Microsoft DevBlogs

🎉 Visual Studio 17.14 Preview 3 is here! Experience the new GitHub Copilot features including a guided walkthrough for beginners, improved model access, enhanced code mapping, and the exciting Next Edit Suggestions for contextual code edits.

Plus, check out adaptive paste for effortless code integration! Dive into the Visual Studio Hub for all updates and keep your feedback coming to shape a better development tool.

🌟 #VisualStudio #GitHubCopilot #DevCommunity

Public
Alvin Ashcraft 🐿️

Azure & DevOps Podcast Episode 345 - .NET Aspire and Databases with Jerry Nixon and host Jeffrey Palermo.

feed.azuredevops.show/net-aspi

feed.azuredevops.showAzure & DevOps Podcast: .NET Aspire and Databases with Jerry Nixon - Episode 345Jerry Nixon is a Principal Program Manager on the SQL Server team focused on the Data API builder. He’s also a fanatic for #CSharp, #StarTrek, and Etymology. He also serves as a professor at Colorado Christian University.   Topics of Discussion: [3:34] Why Jerry describes his life as a pearl necklace. [5:15] Jerry recommends the book Never Eat Alone and the importance of community. [6:01] How engineers and parenting are aligned. [7:02] Jerry reflects on Microsoft’s history of evangelism, the rise of “opinionated” frameworks, and how .NET Aspire revives a form of proven prescriptive guidance. [9:35] Prescriptive guidance. [12:03] The inevitable evolution of .NET Aspire and how it simplifies container-based development by handling orchestration behind the scenes. [16:56] Paying more attention and awareness to the developer community. [18:30] How GraphQL fits into the Data API Builder experience, giving developers flexibility without needing to write complex backends. [21:40] Jerry talks about community feedback on Data API Builder and how real-world use cases help prioritize features and fix gaps in tooling. [31:02] Jerry’s perspective on building container-based solutions. [32:15] Data API Builder’s community involvement and upcoming features. [36:15] Docker Desktop. [38:58] The architectural concept of Data API Builder. [44:42] C# coding conventions at Microsoft and the friendly battles over things like naming, underscores, and formatting styles across internal teams.   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.
#podcast#devcommunity#sqlserver
Public
Microsoft DevBlogs

Exciting news! We’re launching GPT-4.1, 4.1-mini, and 4.1-nano on Azure OpenAI and GitHub! These models boast enhanced coding capabilities, long-context processing (up to 1 million tokens), and improved instruction following.

Fine-tuning support coming soon allows customization for specific business needs.

Dive into the new features of GPT-4.1 today and see how it can transform your applications! #AI #Azure #GPT4 #Tech #DevCommunity

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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