Securing AI Agents with the Agent Governance Toolkit
How to make your AI Agents and MCP servers secure with the Microsoft Agent Governance Toolkit. Here we add Prompt Injection Prevention and Tool Calling Policies to an agent that uses the Microsoft Agent Framework. MVP Love code: https://github.com/edandersen/mvp-love Microsoft Agent Governance Toolkit: https://microsoft.github.io/agent-governance-toolkit/ 0:00 Intro 1:50 Microsoft Agent Governance Toolkit 2:47 Preventing unsafe tool calling 6:32 Stopping Prompt Injection 8:08 Securing MCP Servers with the same policies #coding #ai #dotnet
Blazor Community Standup: Generative UI with AG-UI & A2UI
Join us to learn how AI agents can dynamically create and adapt application experiences using AG-UI, A2UI, Microsoft Agent Framework, and Blazor. 🔗 Links: https://www.theurlist.com/blazor-standup-20260714 🎙️ Featuring: Daniel Roth, Javier Calvarro Nelson, Maya Mateva, Stamo Gochev #dotnet #aspnetcore #blazor
Modernize .NET applications in the GitHub Copilot app
<p>Modernize .NET applications in the GitHub Copilot app. Follow your upgrade from assessment through execution in an interactive upgrade canvas.</p> <p>The post <a href="https://devblogs.microsoft.com/dotnet/modernize-dotnet-in-github-copilot-app/">Modernize .NET applications in the GitHub Copilot app</a> appeared first on <a href="https://devblogs.microsoft.com/dotnet">.NET Blog</a>.</p>
Blazor Community Standup: WebMCP in Action with Blazor
Yanislav Ivanov from Telerik joins us to show how Blazor components use WebMCP to expose actions directly to AI agents, enabling natural language prompts to drive real UI interactions. 🔗 Links: https://www.theurlist.com/blazor-standup-20260707 🎙️ Featuring: Daniel Roth, Javier Calvarro Nelson, Yanislav Ivanov #dotnet #aspnetcore #blazor
Your Enterprise Already Owns an AI Datacenter
For the past two years, enterprises have been searching for the most cost effective way to adopt AI. The journey has looked something like this: 0/ Use external AI providers. 1/ Watch token costs grow. 2/ Move to self hosted cloud GPUs. 3/ Discover you're now paying for infrastructure and operations too. I think there's a third path that many organizations haven't seriously explored. Look within. Most companies already own hundreds, sometimes thousands, of laptops, desktops, and workstations with significant compute power. That hardware has already been purchased. It's already managed. It's already sitting inside your organization. What if those machines could work together as a secure, private AI inference network? That's the idea behind **PeerLLM for Business**. Instead of continuously buying more compute, organizations can leverage the infrastructure they already own while keeping their AI local, private, and under their control. Enterprise AI shouldn't always start with purchasing more hardware. Sometimes it starts by making better use of the hardware you already have. I'd love to hear your thoughts. Is decentralized enterprise AI the next step, or do you think cloud GPUs will remain the dominant model? The video below explains the idea in more detail. Check out PeerLLM for business here: https://www.peerllm.com/business.html
Improvements to reading Process outputs: Exploring the .NET 11 preview - Part 5
In this post I show some of the improvements to the Process API in .NET 11 for running processes and reading their outputs without risk of deadlock
How I Added a Full eSignature Workflow to my ASP.NET Core App
Learn how to add Syncfusion's BoldSign to an ASP.NET Minimal API and Vue3 frontend. We'll use BoldSign's MCP within Visual Studio Code to do the work for us. BoldSign API documentation https://bbb.dev/boldsign Signup for a free BoldSign account: https://bbb.dev/boldsign-signup BoldSign documentation: https://bbb.dev/boldsign-docs 🚀 FEEDBACK Don't forget to comment, like, hype and subscribe. I really value your feedback! 💧 MORE .NET TIPS & LINKS? Subscribed to the .NET Drip email newsletter. Weekly .NET tips and hand-curated links to help you level up your skills. https://dotnetdrip.com 💬 JOIN US MEMBERSHIP: https://bbb.dev/ytjoin DISCORD: https://bbb.dev/discord TWITCH: https://bbb.dev/twitch #csharp #dotnet #boldsign #syncfusion
No more Docker Desktop! WSL Containers are here with wslc!
Finally we will be able to run docker containers on Linux in WSL2 with an entirely native solution on Windows without third party software like Docker Desktop or Podman or Rancher! Thank you Based Microsoft for this! Full docs: https://learn.microsoft.com/en-us/windows/wsl/wsl-container #coding #docker #dotnet
.NET MAUI Community Standup: SkiaSharp 4 has arrived!
SkiaSharp 4 is here! In this .NET MAUI Community Standup, Matthew Leibowitz, David Ortinau, and Gerald Versluis take a look at what’s new in SkiaSharp 4 and what it means for .NET MAUI developers. We’ll also highlight what the community has been up to over the past month, including MAUI UI July, recent releases, cool contributions, and other updates from the .NET MAUI ecosystem. 🔗 Links: https://www.theurlist.com/maui-standup-july26 🎙️ Featuring: David Ortinau (@davidortinau), Gerald Versluis (@jfversluis), Matthew Leibowitz (@mattleibow) #skiasharp #dotnetmaui #microsoft
.NET AI Community Standup: Why Orleans for AI Agents
Join Bruno Capuano and Konstantin Semenenko for a deep dive into building AI agents with .NET and Orleans. As AI applications evolve from simple prompts to complex, stateful systems, developers need architectures that can manage long-running conversations, coordinate distributed workloads, and operate reliably at scale. Orleans provides a powerful virtual actor model that naturally maps to the way modern AI agents think, act, and collaborate. In this session, Bruno and Konstantin will explore how Orleans enables scalable agent-based systems, simplifies state management, and provides a production-ready foundation for orchestrating distributed AI workloads. Through practical examples and real-world experiences, they'll discuss common architectural patterns, design decisions, and operational considerations for building reliable AI-driven applications. Whether you're experimenting with agent frameworks or designing enterprise-scale AI solutions, you'll learn why Orleans is becoming an important technology for developers building the next generation of intelligent systems. 🔗 Links: https://learn.microsoft.com/en-us/collections/m2dqt7t0xz0yww?source=docs 🎙️ Featuring: Bruno Capuano (https://www.linkedin.com/in/elbruno), Konstantin Semenenko (https://www.linkedin.com/in/ksemenenk0/) #DotNet #AIAgents #Orleans