Browse Artificial Intelligence Videos (271)

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.

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 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.

Fokko at Work walks through the key updates in Visual Studio Code 1.140 with a focus on GitHub Copilot changes, including HydraFusion and new session capabilities. The video uses short demos to show how the features work and notes that availability can depend on enterprise policies and licensing.

Microsoft Developer explains how to evaluate Azure AI Foundry Model Router against a baseline model (for example GPT-5) to understand cost, latency, and quality trade-offs, using the open-source Model Router Auto Evaluation toolkit and its HTML dashboard output.

Carlotta Castelluccio introduces the Foundry Toolkit for Visual Studio Code and how it brings common AI workflows—model selection, prompt testing, and wiring agents—directly into VS Code to reduce context switching while building AI-powered apps.

Microsoft Developer hosts a Data Exposed episode with the Azure SQL product management and engineering team, explaining how Azure SQL Database Hyperscale implements vector indexing (DiskANN) to support fast approximate vector search, filtering, and DML at scale, including billion-row scenarios and GA availability.

Microsoft Developer closes out the Fly with Copilot Redmond event with a recap of the main ideas and innovations, plus pointers to resources and concrete next steps attendees can use to keep learning after the event.

Microsoft Developer introduces Microsoft Copilot Studio fundamentals for building custom agents, including how instructions, knowledge, tools, skills, memory, and MCP fit together, plus an overview of the new GitHub Copilot harness for reasoning-heavy, multi-step agent scenarios.

Microsoft Developer shows how to use the GitHub Copilot App to build a personal assistant by describing requirements in natural language and collaborating with Copilot to create an application, add features, test, and refine the solution using agentic development workflows.

Microsoft Developer shares a short announcement for an October 8, 2026 session focused on getting started with Copilot Studio, including what to learn first and how Agent Academy can help build practical AI builder skills.

Cassidy and GPS talk with Camilla Moraes from GitHub’s Maintainer Love team about the “AI slop” problem hitting open source repos, and how GitHub is building small, high-impact features like PR limits to reduce spam while using Copilot CLI to help organize maintainer feedback.

Mark Russinovich explains why trust is the real bottleneck to getting value from AI, and why humans remain accountable for what AI systems do, even when the models are highly capable.

Ben Brauer talks with Eric Imasogie about the Microsoft Learn MCP Server and how it helps AI coding assistants validate answers against current, official Microsoft documentation via the Model Context Protocol (MCP).

Microsoft Developer explains how Azure AI Foundry’s Toolbox helps AI agents use tools safely, separating read-only actions from operations that require approval. Using an MCP-governed toolset, the video shows how to centralize tool definitions, control permissions for sensitive actions like refunds, and keep token costs stable as the toolbox grows.

Microsoft Developer shares an Azure Essentials Show conversation on estimating and controlling the cost of AI workloads on Azure, including what drives spend (models, compute, storage, and usage patterns) and how to use Azure pricing and governance tools to avoid surprises as you scale.

James Montemagno hosts a VS Code Live release recap with members of the VS Code and GitHub Copilot teams, highlighting recent feature updates and what they mean for day-to-day developer workflows in the editor.

GitHub introduces how the GitHub Copilot app can stay involved after a pull request is opened, automatically fixing CI failures and addressing reviewer comments so changes can move toward merge with less manual back-and-forth.

John Savill explains Azure Container Apps (ACA) Sandboxes, focusing on how they provide isolated, secure hosting for agent workloads. He covers the MicroVM-based model, egress controls via proxy and rules, lifecycle and pricing considerations, how sandbox groups work, and operational topics like managing instances and logging.

John Savill gives a quick overview of the Azure Container Apps (ACA) Sandboxes capability and how it relates to Microsoft’s own agentic solutions.

GitHub demonstrates how to connect the GitHub Copilot app to Windows Subsystem for Linux (WSL) so you can run Copilot coding agents directly inside an Ubuntu environment, handle parallel feature requests with Git worktrees, preview changes in an in-app browser, and verify diffs without leaving the app.

Microsoft Developer shares a weekly developer-news roundup covering .NET memory dumps for diagnosing failures, the pitfalls of migrating time-related data between PostgreSQL and SQL Server, and how AI agents can use stronger isolation plus durable memory with Microsoft Foundry and Azure Blob Storage.

GitHub shows how maintainers can automate issue triage using GitHub issue intents, including confidence thresholds, reviewing agent reasoning, and auto-applying routine metadata updates while keeping humans in control.

Tyler Leonhardt explains how to use different model “harnesses” in VS Code with GitHub Copilot, including Claude and Codex, and how bring-your-own-key (BYOK) changes the ways you can access models from your editor.

Microsoft Developer demonstrates how to use Azure AI Foundry’s model router so a single deployment can dynamically route requests to different models, balancing cost and quality while keeping the agent integration to a minimal code change.

John Savill runs through the Azure Weekly Update for 25 September 2026, covering a grab bag of platform changes across compute, serverless, containers, PostgreSQL, and Azure AI Foundry, plus several GitHub Copilot and model availability updates and a retirement notice.

GitHub introduces Canvas in the GitHub Copilot app, showing how developers can describe a workspace UI in plain language and have Copilot generate interactive tools like dashboards and issue trackers without writing UI code.

Liam Conroy-Hampton explains how agent extensibility works in Visual Studio Code, including tools and tool sets, permissions and sandboxing, and how MCP (Model Context Protocol) can connect agents to external data sources. He also introduces Agent Plugins for packaging tools and shows how VS Code supports third-party agents like Claude and Codex.

dotnet introduces a practical series on building AI-powered apps with .NET and Microsoft Foundry, highlighting new SDK capabilities, hands-on projects, and the latest Foundry features and services aimed at .NET developers.

Bob Ward explains how Microsoft SQL (SQL Server, Azure SQL, and SQL DB in Fabric) can be used for chat completion and agentic RAG scenarios, including making REST calls to models, building prompts in SQL, and adding security controls like immutable logging, content moderation, and prompt-injection protection.

GitHub shares a short clip from the GitHub Podcast discussing the idea that developers may be “mourning” the craft of manually writing software as AI coding tools become more common, and whether traditional coding skills are actually losing value in day-to-day engineering work.

Fokko at Work demos the GitHub Copilot and VS Code 1.139 updates, focusing on running agent sessions in Dev Containers on remote hosts and several quality-of-life improvements for managing Copilot sessions and chats.