Browse All Videos (622)

GitHub announces general availability of GitHub issue fields, enabling structured, typed metadata on issues (priority, effort, dates, and custom values) and surfacing that data directly in the repository issues list. GitHub also highlights connecting issue fields to external tools via the GitHub MCP server.

GitHub announces that the GitHub Copilot desktop app is now available across every plan, including Copilot Free and GitHub Education, and highlights agentic coding sessions plus bring-your-own-key support for custom AI model providers.

John Savill runs through a weekly set of Azure platform updates, covering new capabilities across OpenShift, storage, Event Hubs, Log Analytics, Chaos Studio, and identity. He also calls out security-related changes (WAF exceptions, Network Security Perimeter, Entra backup/restore) and an OpenAI/GPT update.

GitHub recaps this week’s developer news, including the general availability of the GitHub Copilot app (now supporting free and education plans plus bring-your-own-key), GitHub Issue Fields reaching general availability, and quick updates on new ECMAScript JavaScript methods and the new HTTP QUERY method.

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.

Carlotta Castelluccio demonstrates how to build a hosted, coded AI agent in VS Code using GitHub Copilot CLI and a Microsoft Foundry Skill, then walks through the workflow to test and deploy it for a social media management scenario.

Microsoft Developer recaps the 2026 updates shipped across SQL Server, Azure SQL, and SQL database in Fabric, highlighting security, tooling, and developer workflow changes announced around SQLCon/FabCon and Microsoft Build 2026.

GitHub introduces Bring Your Own Key (BYOK) support in the GitHub Copilot app, showing how to connect custom model providers, run local models with Ollama, and switch models from the model picker across all Copilot plans.

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.

GitHub explains how to control GitHub Copilot costs in large organizations by mapping enterprise teams to cost centers, configuring AI credit pools, and applying user-level spending caps with per-user overrides for power users.

Arvind Shyamsundar explains how an AI-assisted real-world build ran into an unexpected challenge, and how pairing GitHub Copilot with hands-on developer judgment helped reach a secure solution.

John Savill explains the Azure Health Model, why “resource health” is hard in cloud environments, and how to reason about service and dependency health. The video includes a walkthrough-style demo and closes with practical takeaways for understanding and communicating Azure service health.

Visual Studio Code highlights the CodeSnap extension for VS Code, showing how it helps developers create cleaner, more shareable screenshots of code quickly.

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.

Burke Holland introduces Kimi K2.7 Code by Moonshot AI as the first open-weight model available in the GitHub Copilot model picker, and shows how to enable it and evaluate its agentic coding performance using a full product requirements document.

Visual Studio Code introduces VS Code Learn, a hands-on learning hub with short videos, guided exercises, and practical examples aimed at helping developers get more out of the editor, including content that touches on AI, agents, and day-to-day developer productivity.

John Savill recaps the major Microsoft AI updates from June 2026, spanning new model availability on Azure, Azure AI Foundry capabilities (agents, evaluations, tracing, memory), and GitHub Copilot updates including a desktop app and an SDK.

Connor Peet explains how VS Code’s Agent Host Protocol changes the way coding agents run and stay connected, moving beyond window-bound local agents to sessions that can persist, sync state across machines, and support remote, long-running workflows.

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.

GitHub introduces GitHub Copilot code review “medium depth” reviews (public preview), showing how the higher-reasoning review mode can produce longer, more thorough pull request feedback for complex logic and security-sensitive changes, and how admins can enable it at the repository or organization level.

John Savill shares a short weekly roundup of Azure changes and announcements from 3rd July 2026, including VM restore point improvements, new blob integrity capabilities, storage migration updates, PostgreSQL tooling, Azure AI Foundry news (including Claude models), GitHub Copilot model updates, and quantum-safe security items.

GitHub walks through recent updates from the GitHub Changelog and demos experimenting with “canvases” inside the GitHub Copilot app, focusing on what’s new and how the tooling behaves in practice.

Microsoft Developer walks through setting up Azure DevOps Pipelines for SQL projects created from SSMS Database DevOps or the VS Code SQL database projects extension, including build, code analysis, and iterative deployments to Azure SQL Database with security basics like firewall rules and passwordless auth.

Fokko at Work demos what’s new for GitHub Copilot in Visual Studio Code 1.127, focusing on agent and chat workflow improvements like session organization, UI banners, review feedback in the editor gutter, and tools for troubleshooting agent behavior, plus visibility into subagent credits and plan/policy limitations.

GitHub shares a “Rubber Duck Thursday” update video highlighting what’s new and where to follow ongoing GitHub announcements across its official channels.

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.

Arvind Shyamsundar explains how to keep costs down without sacrificing performance by using Azure SQL features that help applications scale efficiently as they grow.

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.

GitHub highlights Arnis, an open source project that turns real-world map and elevation data into detailed Minecraft worlds, letting you generate accurate terrain and buildings and tweak settings like scale and spawn points.

Carlotta Castelluccio demonstrates how to build a low-code AI agent in VS Code using the Foundry Toolkit’s Agent Builder, connect it to the Microsoft Learn MCP Server, configure instructions and tools, and then validate the agent’s behavior using GitHub Copilot evaluation.

Kent Weare demonstrates a Microsoft Dataverse plugin that gives coding agents guardrailed, schema-aware access to Dataverse so they can provision solutions, import data, and validate results from natural-language requests without producing brittle, hallucinated implementations.

GitHub announces that GitHub Copilot Agent can now be added natively in JetBrains IDEs through JetBrains AI Assistant, using agent client protocol support. The video highlights a quick enablement flow from the AI agents tab and examples like summarizing projects, reviewing README files, and running tests with code coverage checks.

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.

Anthony Nocentino and Anna Hoffman show how to give GitHub Copilot controlled, real-time visibility into SQL Server using MCP (Model Context Protocol) servers. They demo a custom DMV-based MCP server for DBA workflows and a zero-code Data API Builder approach for app data access, with guardrails and permissions defined by you.

Carlotta Castelluccio walks through using the Foundry Toolkit to explore and compare AI models, focusing on practical ways to evaluate options and pick the right model for a given task inside a developer workflow.

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.