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March 3, 2023
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GitHub Copilot AI Tech Upgraded, Already Generates 61% of Java Code
GitHub has again upgraded the AI tech behind its Copilot "AI pair programmer," which reportedly already generates 61 percent of Java Code in editors where it's used and 46 percent across all languages.

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Devs Cite Problems with GitHub Copilot and IntelliSense Working Together
Taking My New GitHub Copilot 'AI Pair Programmer' for a Spin
A Year In, GitHub Measures AI-Based Copilot's Productivity Boost
Keyboardless Coding? GitHub Copilot 'AI Pair Programmer' Gets Voice Commands
 
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Microsoft Launches 'One-Stop-Shop' for Stack Overflow Questions on Azure Development
"We appreciate that the developer community is getting value out of Stack Overflow and the content that has already been created by hundreds of thousands of developers."

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Microsoft Cloud Dev Advocate Laurent Bugnion Talks Event-Driven Applications in Azure
Spring Cloud Azure 5.0 Ships with Updated, Redesigned Documentation
What's New for Java in Microsoft Dev Tooling
Java on Azure Tooling Update Boosts Remote Debugging
 
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Visual Studio IntelliCode Preview Offers Instant API Code Examples
The first preview of Visual Studio 2022 17.6 boosts GitHub integration and also sees AI-assisted IntelliCode instantly offering up real-world API code examples -- no more context switching required.

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Exploring the 'Almost Creepy' AI Engine in Visual Studio 2022
IntelliCode Now Suggests NuGet Packages for You: 'Like Netflix Recommendations'
Tabnine AI Assistant Adds Visual Studio Support
Improved IntelliSense Support for Jupyter Notebooks in VS Code
 
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GrapeCity Report Tooling Brings Web Designer to Blazor
Development toolmaker GrapeCity's recent ActiveReports. NET v17 release "brings the Web Designer to the Blazor framework."

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.NET 8 Preview 1: Native AOT Upgrade and the New 'Blazor United'
Microsoft Mulls Combining Web/Mobile/Desktop Tooling in .NET 8
ASP.NET Core Dev Team Launches 'Blazor United' Push for .NET 8
Steve Sanderson Wows Web-Devs with Peek at 'Blazor United' for .NET 8
 
Binary Classification Using a scikit Decision Tree
Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large data sets and can be susceptible to model overfitting.

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Logistic Regression Using the scikit Library
Logistic Regression from Scratch Using Raw Python
Multi-Class Classification Accuracy by Class Using PyTorch
The Traveling Salesman Problem Using an Evolutionary Algorithm with C#
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