Move your AI agents from prototype to production using Microsoft Foundry Agent Service. Deploy directly from your local environment, run with secure identity and scoped permissions, and monitor every interaction so you can debug, improve, and scale without losing control. Publish agents into the tools your team already uses and ensure every action is traceable, governed, and isolated.

Ground your agents in real work and business data to generate outputs that are actually useful. Pull from emails, meetings, and operational systems to create personalized insights, documents, and presentations. Build faster with familiar tools and frameworks, then manage performance, cost, and quality across all your agents as they scale.

Jeff Hollan, Partner Director, AI Agent Services, shares how to operationalize AI agents across your organization—from deployment to real-world impact.

► QUICK LINKS:
00:00 - Build single and multi-agentic workloads
00:44 - Build agents at scale with Foundry
01:33 - Demo: Sales meeting preparation agent
03:32 - How it works
04:48 - Access controls
05:44 - Publish the agent
06:23 - Direct integration with Microsoft 365
07:26 - Work IQ, Foundry IQ, & Fabric IQ
10:24 - Agent creation
11:21 - See what's happening in the code
12:54 - Manage performance
13:56 - Wrap up

► Link References
Go to the Microsoft Foundry to build your first project at https://ai.azure.com

Check out https://github.com/microsoft-foundry

► Unfamiliar with Microsoft Mechanics?
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#AIAgents #AzureAI #MicrosoftFoundry #GenerativeAI

Scott Hanselman and Mark Russinovich ​​explore how software development is evolving in the age of AI.

Join host Justin Garrett from the Microsoft MVP Program as he sits down with Magnus Mårtensson, a 14-time Azure MVP, to explore what it takes for enterprises to manage growing data estates with AI-powered observability in Azure. As organizations scale across hybrid environments, multi-cloud platforms, and legacy systems, monitoring application health and managing diagnostic data becomes increasingly complex. In this episode, Magnus explains how Azure Monitor, Service Groups, and AI-assisted investigation are transforming observability by turning massive volumes of telemetry into actionable insight.

You’ll learn how Azure Copilot can analyze logs, detect anomalies, recommend next steps, and help prioritize Azure Advisor recommendations using natural language inside tools like Visual Studio Code. The result: faster investigations, improved uptime, reduced operational overhead, and smarter decision-making across your cloud estate. Whether you're modernizing applications or optimizing resources across subscriptions, this episode highlights real-world strategies for building resilient, cost-efficient systems with AI in Azure.

In this episode, you’ll learn:
✅ How to use Azure Monitor and Log Analytics for enterprise observability
✅ Why Service Groups help Azure understand application architecture
✅ How AI-assisted investigation accelerates root cause analysis
✅ Best practices for managing diagnostics data at scale
✅ How Azure Copilot turns natural language into KQL queries
✅ When to use Azure Advisor insights to optimize performance and cost

🔗 Chapter Markers:
00:06 - Welcome to MVP Unplugged Episode 3
00:32 - Meet Magnus Mårtensson
01:24 - Observability Challenges Explained
03:14 - Azure Monitor Overview
05:27 - Managing Log Data at Scale
06:21 - AI for Diagnostics Data
09:36 - Azure Service Groups (Preview)
11:04 - Demo: Mapping Applications
15:20 - Health Models
21:30 - AI-Assisted Investigation
27:30 - Azure Copilot in VS Code
30:33 - Azure Advisor with AI
35:35 - AI for Cost Optimization
39:23 - Wrap-Up

👉 Subscribe for more MVP insights and AI-powered development tips!
#AzureMonitor #AzureCopilot #Observability #EnterpriseIT #LogAnalytics
#CloudComputing #AIinCloud #MicrosoftDeveloper #Azure #DevOps
#ApplicationMonitoring #CloudOptimization #MVPUnplugged

🔗 Resources & Links
🎁 Free Microsoft Foundry Trial: https://aka.ms/devrelft
✏️ Azure Monitor docs: https://learn.microsoft.com/azure/azure-monitor
✏️ Azure Service Groups docs: https://learn.microsoft.com/azure/governance/service-groups
➡️ Azure Tools for VS Code: https://code.visualstudio.com/docs/azure/gettingstarted
MVP Unplugged Playlist:
https://youtube.com/playlist?list=PLlrxD0HtieHhclud3yVB88znZPKCZYX_8&si=4HoycKJyUcl1qwV-

About Magnus:
Magnus Mårtensson is a cloud architecture advisor and founder of Loftysoft, helping organizations design scalable, cloud-native solutions aligned to business strategy. He is an internationally recognized speaker, trainer, and community leader behind events like CloudBurst and Global Azure.

About Justin:
Justin Garrett is host of MVP Unplugged and a Principal PM in Developer Relations at Microsoft, with 20+ years of experience across Windows, Bing, Edge, and Cloud Advocacy. He also leads the Microsoft MVP Program.

Trying to decide between Visual Studio and VS Code in 2026? You don’t have to. In this @VisualStudioLive session from Visual Studio Live! Las Vegas 2026, Brian Randell shows how VS Code and Visual Studio work better together (especially with GitHub Copilot) to maximize developer productivity across platforms.

Learn when to use each tool, how Copilot transforms your workflow, and why combining both environments can give you the best of speed, flexibility, and power.

🔑 What You’ll Learn
• When to use Visual Studio vs. VS Code (and why you often need both)
• Key differences in performance, debugging, and developer experience
• How GitHub Copilot works across both IDEs and what’s included
• Copilot pricing tiers, models, and “premium requests” explained
• Using AI agents, chat, and code generation in real workflows
• How Visual Studio’s debugger and profiler stand out
• Working with SQL projects (SSDT) in Visual Studio vs VS Code
• Dev containers, Codespaces, and cross-platform development
• Using local AI models (Ollama) and bring-your-own-key setups
• Security considerations with VS Code extensions and supply chain risks

⏱️ Chapters
01:01 The “VS Code vs Visual Studio” dilemma
04:18 What makes VS Code unique (open source, extensions, cross-platform)
07:12 Visual Studio 2026 strengths (performance, debugger, enterprise features)
12:59 GitHub Copilot overview, pricing, and model usage
19:02 Copilot settings, models, and enterprise controls
29:15 Demo: Copilot in Visual Studio (debugger, profiler, AI workflows)
44:41 SQL development: Visual Studio vs VS Code (SSDT vs extensions)
52:32 Dev containers and cross-platform workflows in VS Code
1:00:26 Using custom AI models, APIs, and local models (Ollama)
1:06:36 VS Code extension security and risks
1:08:48 Final recommendations

👤 Speaker
Brian Randell (@brianrandell)
Partner, MCW Technologies

🔗 Links
• Download Visual Studio 2026: http://visualstudio.com/download
• Explore more VS Live! Las Vegas sessions: https://aka.ms/VSLiveLV26
• Join upcoming VS Live! events: https://aka.ms/VSLiveEvents

#vscode #visualstudio2026 #visualstudio2026 #githubcopilot #copilot #vslive

Turn a console prototype into a full Blazor web application with document upload, semantic search, and a streaming AI chat UI — all powered by the Progress.Nuclia SDK.

📺 Series: Building AI-Powered Search with Progress Agentic RAG and .NET
🎬 Part 2 of 3

In this video you'll learn how to:
• Register NucliaDbClient with ASP.NET Core dependency injection using AddNucliaDb()
• Upload files and ingest web links into a Knowledge Box
• Browse indexed documents with catalog and resource listing APIs
• Build paragraph-level semantic search with FindAsync and autocomplete with SuggestAsync
• Create a streaming chat UI using AskStreamAsync, IAsyncEnumerable, and Blazor's StateHasChanged()
• Display citations and sources so users know where answers come from

🔗 Links
Progress Agentic RAG docs: https://www.progress.com/agentic-rag
Progress.Nuclia NuGet package: https://www.nuget.org/packages/Progress.Nuclia

📌 Previous: Video 1 — Console app, streaming answers, and citations

Resources & Links:
📦 Progress Agentic RAG: https://www.progress.com/agentic-rag
📚 NuGet Package: https://www.nuget.org/packages/Progress.Nuclia
🔗 SDK Repository: https://github.com/telerik/nuclia-dotnet-sdk

Find me online:
🎥 YouTube: https://youtube.com/csharpfritz
𝕏 X/Twitter: https://x.com/csharpfritz
💻 GitHub: https://github.com/csharpfritz
📺 Twitch: https://twitch.tv/csharpfritz

#dotnet #blazor #ai #rag #semanticsearch #progress #nuclia