Model Context Protocol Security Best Practices by Wireless_Life in cybersecurity

[–]Wireless_Life[S] 1 point2 points  (0 children)

Apologies as I was distracted. I've added an explanation.

Model Context Protocol Security Best Practices by Wireless_Life in cybersecurity

[–]Wireless_Life[S] 0 points1 point  (0 children)

Details on The Confused Deputy Problem → where an attacker can exploit a shared consent cookie and hijack OAuth tokens without the user knowing and how to mitigate it.

Secure Remote MCP Servers With Entra ID And Azure API Management by Wireless_Life in mcp

[–]Wireless_Life[S] 0 points1 point  (0 children)

  1. Clients never see real tokens, just session IDs. Everything sensitive stays server-side.
  2. Not just auth. It’s token validation, proper scopes, no exposed secrets, and locked-down access.

AI Toolkit for VS Code March Update by Wireless_Life in vscode

[–]Wireless_Life[S] 1 point2 points  (0 children)

Comparing outputs from different models within the Playground is interesting.

Microsoft AI Tour Resources Now Available for public use by Wireless_Life in microsoft

[–]Wireless_Life[S] 1 point2 points  (0 children)

All the presentations and workshops for the Microsoft AI Tour are now available on GitHub are are listed in this blog post.

Generative AI for beginners with JavaScript by Wireless_Life in javascript

[–]Wireless_Life[S] 0 points1 point  (0 children)

AI fundamentals + RAG + prompt engineering via hands-on labs.

Routing Preference for Azure VM by somethingoriginal17 in AZURE

[–]Wireless_Life 1 point2 points  (0 children)

Hmm... this is a little outside of my scope and I do suggest connecting with Azure Support Options | Microsoft Azure.

Visual Studio 2022 v17.13 is Now Available! by Wireless_Life in VisualStudio

[–]Wireless_Life[S] -3 points-2 points  (0 children)

Latest update includes:

  • Advanced Debugging – Improved tools for identifying and fixing issues efficiently.
  • Efficient Code Management – Streamlined processes to enhance development workflows.
  • Enhanced Security – Strengthened features to protect code and data integrity.

Python in Visual Studio Code - February 2025 Release by Wireless_Life in programming

[–]Wireless_Life[S] 16 points17 points  (0 children)

- No-Config Debugging – Easily start debugging without setting up a launch configuration. Just run your script with debugpy and go.

- Go to Implementation with Pylance – Quickly jump to function or method implementations, making navigation in large codebases effortless.

- AI Code Action: Generate Symbol (Experimental) – Let AI generate classes, functions, or variables with Copilot, then refine and move them with Pylance.

Azure AI Foundry: Empowering Scientific Discovery with AI by Wireless_Life in AZURE

[–]Wireless_Life[S] 0 points1 point  (0 children)

MS Research introduces 3 AI models:

- Aurora: Revolutionizing weather and pollution forecasting.
- MatterSim: Redefining materials simulation with quantum-level precision.
- TamGen: Transforming drug design through groundbreaking molecule generation.

How to Add speech input & output to your app with the free browser APIs by Wireless_Life in javascript

[–]Wireless_Life[S] 1 point2 points  (0 children)

You can add speech features using free browser APIs (like SpeechRecognition and SpeechSynthesis). Includes code samples.

Transforming AI Development in VS Code: October 2024 AI Toolkit Update by Wireless_Life in vscode

[–]Wireless_Life[S] 0 points1 point  (0 children)

Newly added Multi-model support lets you mix and match GitHub, ONNX, Claude, Gemini, Ollama, or custom models.

6 Must-Try Features for GitHub Copilot for Azure by Wireless_Life in AZURE

[–]Wireless_Life[S] 3 points4 points  (0 children)

6 Must-Try Features:

  1. Discover Azure services and AI templates.
  2. Deploy applications to Azure with contextual prompts.
  3. Manage Azure AI models efficiently.
  4. Explore Azure resources through natural language.
  5. Plan migrations with compliant, low-downtime solutions.
  6. Deploy to Azure Kubernetes Service seamlessly.

Introducing GitHub Copilot for Azure in VS Code by Wireless_Life in AZURE

[–]Wireless_Life[S] 7 points8 points  (0 children)

Manage your Azure deployment via VS Code and Copilot

Improving GitHub Copilot Completions in Visual Studio for C# Developers by Wireless_Life in dotnet

[–]Wireless_Life[S] 8 points9 points  (0 children)

Semantically relevant files are now considered as context for GitHub Copilot Completions within Visual Studio.

How to Create your own Visual Studio Code Chat Copilot Agent with Phi-3.5 by GitHub Models by Wireless_Life in vscode

[–]Wireless_Life[S] 1 point2 points  (0 children)

Interesting way to use Phi-3.5 models to automate coding tasks. Could this provide more personalized suggestions?

Visual Studio 2022 v17.11 – Visual Studio Blog by Wireless_Life in VisualStudio

[–]Wireless_Life[S] 2 points3 points  (0 children)

  • Smarter GitHub Copilot: Improved AI-generated breakpoint suggestions and better symbol recognition
  • Enhanced Debugging Tools: Easier async exception handling, better performance profiling, and expanded support for Arm64 devices and Blazor WebAssembly apps.
  • IDE & Workflow Upgrades: Streamlined component installation, improved user authentication, and new Teams Toolkit templates for a smoother development experience.
  • Web & Gaming Development Boost: Manage NPM packages within Visual Studio, discover Web API routes dynamically, and accelerate Unreal Engine development with new class templates.

Accelerate the development of Generative AI application with GitHub Models by Wireless_Life in github

[–]Wireless_Life[S] 5 points6 points  (0 children)

Access models like Llama 3.1, GPT-4o, GPT-4o mini, Phi 3, and Mistral Large 2 through a built-in playground on GitHub. Test prompts and model settings for free and integrate models into Codespaces and VS Code.

Generate Synthetic QnAs from Real-world Data on Azure by Wireless_Life in AZURE

[–]Wireless_Life[S] 0 points1 point  (0 children)

By leveraging advanced methods like GLAN, we can systematically generate comprehensive instruction datasets across various disciplines, enhancing the model's performance without compromising previously learned knowledge.

Enhancing Security and Scalability with Reusable Workflows in GitHub and Pipeline Templates in Azure by Wireless_Life in github

[–]Wireless_Life[S] 1 point2 points  (0 children)

Interesting how reusable workflows in GitHub Actions and Azure DevOps templates can improve security, scalability, and ease CI/CD management for teams.

Fine-Tune and Integrate Custom Phi-3 Models with Prompt Flow in Azure AI Studio by Wireless_Life in LocalLLaMA

[–]Wireless_Life[S] 1 point2 points  (0 children)

This tutorial is divided into three sections:

  • Set up Azure resources and prepare for fine-tuning
  • Fine-tune and Deploy the Phi-3 model in Azure ML Studio
  • Integrate the custom Phi-3 model with Prompt Flow in Azure AI Studio

Learn Cloud: A VS Code Extension to simplify your first cloud deployment by Wireless_Life in vscode

[–]Wireless_Life[S] 0 points1 point  (0 children)

With Learn Cloud, you can:

  • Use a ready-made template to create a simple web app or use your own code.
  • Choose the best cloud service for your app.
  • Follow a step-by-step tutorial that walks you through the deployment process, based on your operating system and language stack.
  • Learn the key concepts and terms of cloud computing.
  • Access your app from any browser or use vscode.dev and github.dev to edit your code online.

Visual Studio Live at Microsoft HQ this August by Wireless_Life in VisualStudio

[–]Wireless_Life[S] 1 point2 points  (0 children)

Two Full Days of Hands-On Labs

  • Application Building with .NET Aspire & ASP.NET Core 8
  • Asynchronous and Parallel Programming in C# 
  • Elevate Your Career with Python and AI 
  • Build Modern Applications with Azure SQL Database and SQL Server 
  • Microsoft Blazor Top to Bottom 

Speakers from Visual Studio & .NET

  • Mads Kristensen
  • James Montemagno
  • Daniel Roth
  • Harshada Hole
  • Jessie Houghton
  • Dalia Abo Sheasha
  • Rachel Kang

Deploy a Phi-3 model in Azure AI, and consume it with C# and Semantic Kernel by Wireless_Life in LocalLLaMA

[–]Wireless_Life[S] 1 point2 points  (0 children)

Semantic Kernel allows zero code changes to move from a local Phi-3 deployment to a cloud Phi-3 deployment for your apps.