Debugging Complex Classes, Build Next-Gen AI Apps, Copilot AI Enhanced in Visual Studio Previews, More

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October 24, 2024
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Debugging Complex Classes with the [DebuggerDisplay] Attribute
"I needed to tame that debugging sprawl," says Benjamin Day in describing how he overcame his complexity trepidation to use this cool feature in Visual Studio and .NET that lets you customize how your objects appear in the debugger.

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Integration Testing in ASP.NET Core with WebApplicationFactory
Cross-Platform Readiness, Straight from the Experts
Building Applications with the Modern SQL Using AI and Microsoft Fabric
Getting Started with GitHub Copilot Chat
 
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Build Next-Gen AI Apps with .NET and Azure
There couldn't be a better time to get started with coding modern, cloud-based AI-infused applications in the Microsoft camp.

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Building Secure and Scalable APIs in .NET 8
Lessons Learned Building a GenAI-Powered App
Get Good at DevOps: Feature Flag Deployments with ASP.NET WebAPI
Upcycle Your Old Laptops into a Kubernetes Cluster
 
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How Visual Studio IntelliCode Helped Shape GitHub Copilot and Modern AI
Microsoft has baked advanced GitHub Copilot tech into the latest edition of Visual Studio, but the aging IntelliCode feature of the IDE actually helped shape the modern experience.

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See Prompts Microsoft Engineers Use for Bleeding-Edge Multimodal RAG AI Research
Microsoft Eases Integration with Semantic Kernel AI SDK
Visual Studio's Future: Live Help to 'AI-ify Your App'
Microsoft Ships Stable Versions of OpenAI Libraries for .NET and Azure
 
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Copilot AI Enhanced in Flurry of Visual Studio 17.12 Previews
Since announcing Visual Studio 2022 v17.11 in August, Microsoft's dev team has been busy shipping a series of AI-heavy previews for the next edition.

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30th Annual Visual Studio Magazine Reader's Choice Awards Announced
Content Exclusion Is Latest of Many New Visual Studio Copilot Features
Microsoft Spotlights .NET 9, Cloud in First Visual Studio 2022 v17.12 Preview
Visual Studio 2022 v17.11 Ships 'Shaped by Your Feedback' (and AI)
 
Winnow Classification Using C#
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the Winnow classification technique. Winnow classification is used for a very specific scenario where the target variable to predict is binary and all the predictor variables are also binary.

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Implementing k-NN Classification Using C#
Logistic Regression with Batch SGD Training and Weight Decay Using C#
AdaBoost Binary Classification Using C#
Artificial Immune Systems for Intrusion Detection Using C#
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Go-Live License for Final .NET 9 Preview, Bleeding-Edge AI Prompts, Microsoft Dev Tooling Weaponized, More

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