Browse .NET Videos (146)

Bruno Capuano and Angel Hernandez discuss practical enterprise patterns for adding AI capabilities to modern .NET applications, with a focus on moving from prototypes to production. The session covers architecture approaches, AI-powered workflows, and tools and practices that help teams build reliable intelligent experiences.

Visual Studio Code shows the different ways to split the integrated terminal, making it easier to work with multiple shells or tasks side-by-side while staying inside the editor.

Visual Studio Code shows how the new Migration feature in VS Code turns existing prompts into reusable skills, focusing on a faster way to organize and reuse prompt-driven workflows inside the editor.

Authorised Territory demonstrates a .NET AI agent setup where an agent is allowed to rename a file inside a confined folder using the .NET Agent Framework harness, with a local Ollama-hosted LLM (gpt-oss) driving the agent’s decisions.

Reynald Adolphe and members of the VS Code and GitHub Copilot teams recap the past month’s updates, with live demos of notable Visual Studio Code improvements and GitHub Copilot changes, plus a chance for viewers to ask questions in chat.

Kayla Cinnamon gives a quick tour of the redesigned editor panel inside the Agents window in VS Code 1.129, showing how the updated layout supports agent-driven workflows and keeps code editing and AI-assisted interactions in one place.

Authorised Territory demonstrates how to add sampling to a .NET Model Context Protocol (MCP) server so an MCP tool can call back into a client’s locally running LLM (via Ollama) using a chat client.

Daniel Roth hosts an ASP.NET Community Standup covering what’s new for ASP.NET Core and Blazor in .NET 11 Preview 6, including async minimal API validation, automatic CSRF protection, OpenAPI 3.2 updates, unions, and improvements across Blazor and SignalR.

Authorised Territory demonstrates how to add server-side logging to a .NET MCP server and surface those log messages in a .NET console client when the client invokes a tool.

Visual Studio Code runs through the five most popular VS Code extensions in 2026 so far, highlighting what developers are installing to improve their day-to-day workflow inside the editor.

Authorised Territory demonstrates how to add console telemetry to a .NET AI agent harness by wiring up a trace provider and emitting traces using OpenTelemetry, with a local Ollama model (gpt-oss) used as the LLM runtime.

Erik Ejlskov Jensen presents SQL Database Project Power Tools, focusing on improving the day-to-day workflow for SQL Database Projects by extending the tooling developers use in Visual Studio and SQL Server Management Studio (SSMS).

Bruno Capuano and Pablo Nunes Lopes host a .NET + AI Community Standup covering recent updates around agent development in .NET, running models locally, and using GitHub Copilot in modernization scenarios, with pointers to Microsoft Learn resources for getting started.

Matt Goldman, David Ortinau, and Gerald Versluis recap “MAUI UI July”, highlighting community contributions, recent improvements, and practical UI tips and demos for building cross-platform apps with .NET MAUI.

Authorised Territory demonstrates how a .NET AI agent running in a harness can request human approval before executing a tool, using a locally hosted LLM via Ollama.

Fokko at Work demos selected updates in Visual Studio Code 1.128 that affect GitHub Copilot, including configuring the default utility model for BYOK and notes on how enterprise policies and pricing plans can change which features are available.

Daniel Roth, Javier Calvarro Nelson, Maya Mateva, and Stamo Gochev present a Blazor Community Standup on “generative UI”: using AI agents and agent-driven UI patterns to dynamically create and adapt application experiences with AG-UI, A2UI, Microsoft Agent Framework, and Blazor.

Visual Studio Code shares a short sizzle reel promoting VS Code Learn, a set of free, hands-on courses created by the VS Code team to help developers learn VS Code features and workflows.

Authorised Territory demonstrates how to build a .NET agent harness that lets an AI agent read a local text file, using the .NET Agent Framework and the Microsoft.Agents.AI.Harness NuGet package with a locally running LLM in Ollama.

Visual Studio Code shows how VS Code Tasks can help you quickly rerun common project commands by defining them once and triggering them from the editor.

Authorised Territory demonstrates how to show LLM token usage in a .NET console app built with the .NET Agent Framework while running a local model via Ollama, focusing on making token consumption visible during agent execution.

Authorised Territory demonstrates how to build a web-search tool and wire it into a .NET Agent Framework agent, using SearXNG for search and a locally running LLM via Ollama, with the supporting services hosted in Docker Desktop.

Matthew Leibowitz, David Ortinau, and Gerald Versluis walk through what’s new in SkiaSharp 4 and what the update means for .NET MAUI developers, then share highlights from the .NET MAUI community including MAUI UI July, recent releases, and notable ecosystem contributions.

John Maeda and Ross Heise wrap up the Cozy AI Kitchen series with a reflective finale on making AI concepts more approachable for developers, revisiting recurring ideas like Semantic Kernel, embeddings, tokens, and “agents,” and sharing what they learned from blending education, storytelling, and hands-on metaphors.

Divakar Kumar introduces Archaios, an AI-powered exploration platform for archaeologists that processes large LiDAR datasets and related geospatial signals. He shows how .NET and Azure Durable Functions can orchestrate event-driven pipelines, and how Semantic Kernel-based multi-agent workflows can simulate expert collaboration to help identify potential historical sites.

Carlotta Castelluccio demonstrates how to set up an agentic AI workflow inside Visual Studio Code, including installing the required components, signing in to Microsoft Foundry, and getting oriented with the main UI you’ll use to work with Copilot-driven agent features.

Bruno Capuano and Konstantin Semenenko explain why Microsoft Orleans is a strong fit for building AI agents in .NET, focusing on how the virtual actor model helps with stateful, long-running conversations and coordinating distributed workloads reliably at scale.

Authorised Territory demonstrates how to expose a .NET Azure Function as an MCP tool, using Visual Studio 2026 to create an Azure Functions project with an McpToolTrigger and then validating the tool with MCP Inspector.

Reynald Adolphe and the VS Code product team recap the June updates, with live demos of new Visual Studio Code features and recent GitHub Copilot improvements, plus a Q&A-style chat with the community.

Reynald Adolphe walks through recent Visual Studio Code updates focused on keeping more of the development workflow inside the editor, including improvements to the integrated browser, device emulation, Mermaid diagram support, and a smoother issue reporting experience.

Authorised Territory demonstrates how to use an AI-powered feature search experience in Visual Studio 2022 (17.14.35) to quickly find IDE functionality without manually browsing menus and settings.

Rohan Malpani explains how AI features in Visual Studio and VS Code can help teams ship safer, more accessible code by combining reusable “skills” with agent-based workflows that fit real development practices.

Daniel Roth, Javier Calvarro Nelson, and Yanislav Ivanov demonstrate how Blazor components can use WebMCP to expose UI actions to AI agents, so natural language prompts can trigger real interactions in a Blazor app.

Kayla Cinnamon demonstrates using MAI-Code-1-Flash inside VS Code via Copilot Chat to ship a feature end to end—navigating an existing codebase, building and running the project, and validating changes with tests—while also calling out the model’s cost benefits.

Rohan Malpani explains how AI is being designed into developer tools, comparing Visual Studio “skills” with VS Code agent-based workflows and showing how teams move from prototypes to production-ready, AI-assisted engineering with attention to iteration, quality, and security.

Leonardo Micheloni explains how spec-driven development can reduce LLM “guesswork” by giving AI a clearer structure to work from, using GitHub Spec Kit as the concrete example discussed on On .NET Live.

Visual Studio Code highlights a quick path for moving a project from .NET Framework 4.8 to .NET 10 in VS Code, and points viewers to the AwesomeCopilot repository for related resources.

GitHub features guests Maddy Montaquila and David Fowler on Open Source Friday to discuss .NET Aspire, a code-first orchestration and observability layer for distributed apps, including how it models services and dependencies and streamlines running and troubleshooting multi-service systems.

Daniel Roth and guests introduce dotnet/skills and explain how it helps AI assistants produce more accurate, idiomatic .NET code by grounding responses in reusable skills/tools and testing against real-world evaluation scenarios.

Chun Lin Goh explains why burstable cloud instances can cause non-linear PostgreSQL slowdowns when CPU credits run out, and shows how to model the saturation point with a lightweight discrete-event simulation approach so you can right-size instances and connection pools before production timeouts hit.