Browse All Videos (430)

John Savill shares a quick Azure Weekly Update covering recent platform changes and previews, including VM ephemeral OS disk caching, Azure Functions Flex Consumption custom TLS, user delegation SAS updates, AZD extension framework work, Azure Load Testing Playwright expansion, and new Copilot-related items.

Martin Woodward shares his pick for a new GitHub Copilot feature: the GitHub Copilot app, a native Windows and Mac experience aimed at agentic coding workflows across issues and pull requests, with isolation via separate Git worktrees.

Fokko at Work demos selected new GitHub Copilot features in Visual Studio Code 1.137, including automations, attaching GitHub issues and pull requests directly in chat, and voice mode, with notes on how enterprise policies and pricing plans can affect feature availability.

Visual Studio Code shows how to connect your own Azure-hosted AI models to GitHub Copilot in VS Code using Bring Your Own Key (BYOK), so teams can control which models are available in Copilot and pick the right model for different coding tasks.

GitHub spotlights the open source project DocumentDB as part of its Open Source Friday series, focusing on the project and its place in the broader open source ecosystem.

Microsoft Developer introduces the Azure SQL Database Foundations series, positioning it as an entry point for learning core concepts around Azure SQL Database and how it fits into building and running cloud-hosted relational databases on Azure.

Microsoft Developer covers automatic index compaction (public preview) and how it can reduce or eliminate traditional index maintenance work for Azure SQL Database, Azure SQL Managed Instance, and SQL database in Microsoft Fabric.

Visual Studio Code announces a new “VS Code pet” coding companion that you can trigger from GitHub Copilot Chat in VS Code using the /vscode-pet command, and invites the community to submit name ideas during a one-week window.

GitHub shows how to use the new attach flag in the GitHub CLI to add images directly to pull requests and issues, making it easier to share screenshots and other visual context during reviews and issue triage.

Microsoft Developer introduces Toolboxes in Microsoft Foundry as a way to make MCP (Model Context Protocol) integrations more enterprise-ready, with centralized governance, consistent authentication, and reusable configuration across multiple agents and tools.

Microsoft Developer discusses the MCP Triggers & Events experimental extension, showing how agents can poll MCP servers for events and be triggered via webhooks, and what new event-driven agent architectures this enables.

Caitie McCaffrey reviews the current state of the Model Context Protocol (MCP), focusing on the major changes in the 2026-07-28 specification release and what they mean for developers building AI agents and agent-to-agent communication patterns.

Microsoft Developer explains why Dynamic Client Registration becomes a scaling problem for MCP clients, and how switching to Client ID Metadata Documents turns the client_id into a durable, URL-based identity that servers can fetch on demand.

Jeremiah Lowin shows how MCP Apps can render interactive UI (buttons, charts, forms) directly inside AI clients, and walks through building these experiences in Python using FastMCP and Prefab—from basic components to dynamically generated interfaces.

Den Delimarsky explains how MCP authorization evolved, covering the original OAuth profile, protected resource metadata, changes to client registration, and how enterprise-managed authorization fits into the model.

Microsoft Developer demonstrates how to build modern Model Context Protocol (MCP) servers in VS Code, moving beyond simple local tool calls to more production-ready agent integrations with notifications, elicitation, stateless HTTP, and plugin-based distribution.

Sam Morrow discusses GitHub’s Model Context Protocol (MCP), covering what his team is shipping across MCP server and client implementations, plus the spec areas he’s most excited about and what’s coming next.

Authorised Territory demonstrates how to build domain-specific AI agent evaluators in .NET using Microsoft Agent Framework connected to a local Ollama model, then run automated checks against the agent’s responses to validate both content and output structure.

Microsoft Developer demonstrates how to build a no-code AI agent in the Azure AI Foundry Portal: create a Foundry project, deploy a model, connect an MCP server for a cupcake store scenario, then validate the agent using tracing, token usage metrics, and evaluations.

Marco Casalaina breaks down Foundry IQ, Fabric IQ, Work IQ, and Web IQ, explaining them as grounding capabilities that give AI agents the right context. He maps each “IQ” to the underlying data source (knowledge bases, OneLake, Microsoft 365 apps, and the public web) and what it enables.

GitHub demonstrates how to use the GitHub CLI’s new --attach flag to upload screenshots and videos directly to issues, pull requests, and comments. The walkthrough shows an automated Playwright-based workflow that captures failure evidence and attaches before-and-after media to support bug reports and PR reviews.

Jon Galloway, Daniel Roth, Mads Torgersen, Chet Husk, and Drew Noakes host a .NET Unboxed release party focused on .NET 11 Release Candidate 1, highlighting favorite features and what developers should pay attention to as .NET 11 approaches release.

GitHub explains how to make GitHub Copilot work better in a real project by giving it durable context about your repo. It covers adding custom instructions under .github, defining repeatable “skills” for tasks like testing, using custom agents for bigger workflows, and connecting MCP servers such as Playwright.

Visual Studio Code highlights how to get a new set of file icons in VS Code quickly, pointing viewers to the Catppuccin icon theme link for a fast editor refresh.

GitHub highlights research by Louis Abraham on how AI tools are influencing the language developers use in GitHub pull request descriptions, based on analysis of more than 460,000 PR descriptions and the rise of distinctive AI-associated terms and punctuation patterns.

Maddy Montaquila explains how a “Aspire-ified” .NET app can give a coding agent more context and control, including a single command to start containers, processes, and the debugger, plus the ability to manage resources and view logs from one place.

Andrea Griffiths and Meagan Cojocar demonstrate GitHub Copilot Cloud Agent running inside Slack and Microsoft Teams, showing how teams can create issues, review diffs, preview HTML, and analyze repository data directly from chat, plus what admins need to enable it safely in enterprise environments.

Visual Studio Code announces “MCP Live” (September 9, 9 AM PT), a live event with experts from Microsoft, GitHub, Anthropic, Okta, Prefect, and Amazon focused on updates across the Model Context Protocol (MCP) ecosystem.

John Savill recaps the major Microsoft AI updates from August 2026, including new and updated models, routing and content-understanding changes, and a set of Copilot and Azure Copilot improvements that affect how teams use AI features across developer and enterprise environments.

Authorised Territory demonstrates how to build an AI agent with the .NET Microsoft Agent Framework using a local Ollama model, then evaluate the agent locally with built-in checks to confirm response quality and that required tools were actually invoked.

GitHub explains why newer, larger AI models don’t automatically make better code reviewers, highlighting benchmark results where highly formatted, verbose reviews can still miss fundamental bugs.

Cameron Tomisser shares a weekly Microsoft developer news roundup covering the Azure Developer CLI extension framework reaching GA, new CI/CD options to connect to Azure Cosmos DB without storing secrets, and progress on making agent security more production-ready.

GitHub shows how to attach images and videos to pull requests, issue comments, and issues directly from the terminal using the GitHub CLI. It highlights the new --attach flag, including how to provide a file path plus alt text so screenshots and recordings stay accessible in GitHub discussions.

John Savill runs through the Azure Weekly Update for 4th September 2026, covering a set of platform changes across compute, AKS, networking, monitoring, security, and Azure AI Foundry, with quick pointers to what’s new and where the updates land in the Azure stack.

Visual Studio Code highlights Emmet, a built-in VS Code feature that speeds up writing HTML (and related markup) using short abbreviations and expansions.

GitHub introduces Project HydraFusion and shares benchmark results claiming higher verified task quality and lower estimated cost versus Claude Opus 5 on Terminal-Bench 2.1. The short also points developers to try HydraFusion as a selectable model via the /experimental feature in GitHub Copilot CLI.

GitHub introduces Project HydraFusion, a research preview for GitHub Copilot that orchestrates multiple AI models at runtime to balance quality, cost, and latency. The video explains how routing strategies like single, cascade, and critique workflows can automatically choose an execution path per task to improve outcomes without manual model selection.

GitHub shares a quick “The Download” roundup covering a new GitHub CLI capability for attaching images and videos to pull requests, plus several AI-related updates including local coding-agent models, large-scale LLM releases, and benchmarks and analyses focused on AI code review and PR-writing language.

Andrea Griffiths talks with Angela Wen about making a first open-source contribution on GitHub, from finding a good first issue through opening a draft pull request and getting CI checks green. They also cover practical expectations when working with maintainers and what “using Copilot responsibly” looks like in a real PR workflow.

James Montemagno and Matt Soucoup run a beginner-friendly livestream on the GitHub Copilot SDK for .NET, focusing on how to embed Copilot’s agent runtime into your own apps for multi-turn conversations, tool calling, streaming responses, and MCP-based extensibility.