Browse All Videos (377)

Daniel Roth hosts a Blazor Community Standup with the Infragistics team to walk through the stable release of the free, open-source Ignite UI component library for Blazor, what components are included, and how to use them in real Blazor apps.

Jon Galloway and the .NET team (Daniel Roth, Gerald Versluis, and Chet Husk) host a release party-style walkthrough of .NET 11 Release Candidate 2, highlighting their favorite features and showing what’s new across the .NET stack, including Blazor and .NET MAUI.

Microsoft Developer demonstrates an end-to-end workflow for building and shipping a hosted AI agent from the terminal using GitHub Copilot CLI and Microsoft Foundry, including planning, resource creation, model selection, evaluation-driven improvements, and a secure Azure Functions proxy to connect the agent to a website chat experience.

Sameen Karim joins The GitHub Podcast to explain how GitHub’s native stacked pull requests work, including the internal merge architecture changes, how linked PR chains avoid “ghost merges,” and how the team addressed CODEOWNERS-related security loopholes while keeping stacked review workflows practical for engineering teams.

Visual Studio Code shows how the Agents window can create and manage a pull request end-to-end, including drafting the PR title and description, tracking CI checks, monitoring reviews, resolving conflicts, keeping the branch in sync, and merging automatically with configurable control.

John Savill gives a quick overview of “computer use” in AI: why a model alone isn’t enough, what an agent harness provides, and how desktop-style interaction changes the way AI systems can execute tasks while still needing boundaries, governance, and visibility.

Ali Zaman explains how Microsoft Discovery coordinates AI agents to help scientists reduce a large research space into a smaller set of promising candidates, speeding up scientific discovery and reducing the number of experiments needed.

Ali Zaman explains Microsoft Discovery and how it coordinates specialized AI agents to help scientists run an evidence-driven research loop, using battery design as the example and focusing on why search and summarization aren’t enough for real R&D workflows.

Microsoft Developer highlights updates across .NET Aspire, Azure Virtual Machines, and SQL Server, focusing on what’s new in Aspire 13.6 for distributed app debugging, Azure VM lifecycle guidance changes, and running SQL Server on Azure Local when cloud-only isn’t an option.

Visual Studio Code shares a short video about adding Halloween-themed styling to VS Code, focusing on customizing the editor’s look and feel with themes.

GitHub hosts a two-hour live-coding session with Wes Bos, Burke Holland, and Pierce Boggan showing how GitHub Copilot can take a 3D foldable phone simulator from scratch to running functional web apps, including parallel agent workflows, model choices, and practical debugging in the browser.

Bruno Capuano and Daniel Roth introduce the Blazor AI Components and show how they enable agentic experiences in .NET apps beyond basic chat, including structured streaming responses, tool invocation, approval gates, and multi-step workflows coordinated through shared state.

Erik Ejlskov Jensen shows how his open-source T-SQL static analysis rules and tooling can help enforce database design standards, including live feedback while writing SQL and using rule enforcement to guide AI-assisted database and EF Core model generation.

GitHub shares a short documentary-style look at what a 48-hour hackathon is actually like, from idea formation and rapid prototyping to learning through trial and error. It also touches on how tools like GitHub Copilot can help participants turn rough concepts into working applications under tight time constraints.

John Savill runs through the Azure Weekly Update for 9th October 2026, covering a set of platform changes and retirements across AKS, App Service, developer environments, networking/WAF, API Management, PostgreSQL, SQL Server, and Fabric/OneLake, plus a security-focused note on Always Encrypted with Intel SGX enclaves.

David Williams-Young introduces the Quantum Development Kit (QDK) for Chemistry, an open-source Microsoft Quantum library aimed at connecting chemistry domain researchers with quantum algorithm developers. He explains what the library is for, how it fits into a typical workflow, and what to do next to start building chemistry-focused quantum applications.

Fokko at Work demos what’s new in Visual Studio Code 1.141, focusing on workflow and UI updates plus several GitHub Copilot improvements, including continuing external Copilot sessions, sandboxing in the Copilot agent host, persistent chat progress, and visibility into discovered MCP servers.

Patrick Nikoletich explains how GitHub Copilot agent sessions can move between devices using GitHub’s shared agent runtime, the Copilot SDK, and the Agent Host Protocol, including a live demo that hosts an agent on a home Linux machine and connects to it from the Copilot CLI.

Gareth Bland explains why AI agent costs can scale much faster than the work being done, and how context caching helps control token spend as agents take more turns.

Microsoft Developer explains how to debug an AI agent that’s slow or confidently wrong by turning on server-side tracing for an Azure AI Foundry project and inspecting each run step-by-step in Application Insights, including model calls, tool calls, tokens, and latency, then querying patterns with KQL.

Anna Hoffman recaps the key Microsoft SQL announcements shared at SQLCon/FabCon Barcelona 2026, covering hybrid and migration updates, Database Hub changes, Hyperscale improvements, SQL DB in Fabric updates, and developer-focused tooling and agent-related updates.

GitHub explains an upcoming GitHub Copilot feature that intelligently routes some requests to local, on-device models (including Ollama and Microsoft Foundry Local) to reduce cloud usage, enable offline workflows, and keep sensitive data on the machine.

Visual Studio Code introduces “Blobby” as the new VS Code Pet and shows how to enable it from GitHub Copilot Chat using the /vscode-pet command.

Gareth Bland explains TokenOps: a practical way to control AI agent spend by focusing token budget where it creates real value. He breaks down why multi-turn agents get expensive fast, how cached input changes the cost curve, and which efficiency ratios help teams measure whether they’re getting leverage or just burning tokens.

John Savill gives a quick, practical overview of MCP (Model Context Protocol), explaining why it matters for integrating AI with external tools and services. He frames MCP as a standard way for models to discover capabilities and interact with “target services” through local or remote MCP servers.

Rory Preddy demonstrates an end-to-end workflow in VS Code using GitHub Copilot to build and debug a Java Spring Boot app, then expose app capabilities as MCP tools and validate behavior with Playwright tests.

Microsoft Developer explains why an AI agent’s output quality depends on the context you can retrieve at runtime, and shows how Foundry IQ-style capabilities connect agents to enterprise data, ground responses, and enable actions across business workflows.

Mahmoud A. Atallah shows how he uses GitHub Copilot agents in VS Code to turn meeting transcripts and other customer inputs into structured requirements and execution-ready delivery artifacts, then enriches them with Azure guidance via MCP servers and the Well-Architected Framework.

Ayush Shekhar introduces ScreenMind, an open source project that runs a single local AI model to understand what’s on your screen, transcribe audio (like meetings), and answer questions about what it has seen—aimed at running on a GPU with as little as 4GB of VRAM.

GitHub explains how PR limits can reduce low-quality pull requests and automated spam (“AI slop”) by letting maintainers cap the number of open PRs from external contributors, with upcoming options like counting draft PRs and allowing trusted users to bypass limits.

Visual Studio Code shows how to use the Thunder Client extension to send API requests and view responses directly inside VS Code, keeping API testing alongside your code while you build and debug your app.

Maria Jose Fernandez and Kyle Ikeda explain how Azure’s savings plan for databases helps teams reduce database spend with flexible, spend-based discounts that can follow workloads across services and regions, and how it compares to (and complements) Azure Reservations.

John Savill recaps major Microsoft AI announcements from September 2026, focusing on Azure AI Foundry updates (models, routing, agent features, and controls), Copilot platform changes, and developer-facing items like GitHub Copilot and VS Code agent workflows, plus data/AI additions such as Azure SQL vector capabilities.

GitHub introduces gh-secure, a one-command tool from the GitHub Security Lab aimed at improving basic repository security hygiene by helping prevent secrets from being leaked into public code, with usage via the Copilot app, Copilot CLI, or GitHub CLI.

Microsoft Developer announces an October 8, 2026 webinar focused on getting started with Copilot Studio, including what to learn first and how Agent Academy can help build practical AI builder skills.

Daniel Roth and Jon Galloway introduce the new Blazor AI Components and show how they can be used to build agent-centric Blazor apps where AI participates in the UI, drives workflows, and takes actions beyond a simple chat experience.

John Savill runs through the Azure Weekly Update for 2nd October 2026, covering a mix of retirements and new capabilities across compute, containers, storage, databases, Arc, and regional expansion, plus an AI model availability update.

Julia Kasper introduces Project HydraFusion, an experimental GitHub Copilot CLI capability that routes prompts across multiple AI models based on intent. The session explains HydraFusion’s execution patterns (single, cascade, critique), shows efficiency-focused demos, and covers transparency goals like reducing user bias in model selection.

Microsoft Developer shares the GitHub Universe Day 2 keynote, focused on building in the open with open source voices, live demos, and community-driven development themes.

Microsoft Developer hosts the GitHub Universe Day 1 keynote, covering GitHub’s view of the next era of software development and the tools and workflows GitHub is building to help developers ship faster, including announcements, live demos, and updates across the GitHub platform.