Browse Artificial Intelligence Videos (411)

GitHub highlights a major update to the GitHub Copilot desktop app announced at Microsoft Build, focusing on new preview features aimed at safer, more agent-native local development workflows.

Kyle Daigle highlights what developers can do with the GitHub Copilot app and notes that anyone on a paid Copilot plan can access it now.

Microsoft Developer highlights a common pitfall in cost-efficient AI app development: focusing too much on prompt tweaks and model swapping instead of improving the system around the model with better data, context, and pipelines.

Microsoft Developer explains a common pitfall when trying to build cost-efficient AI applications: focusing too much on prompt tweaks and model swapping instead of designing a system that reliably provides the model with the right data and context.

Christina Warren recaps developer news from Microsoft Build and GitHub, including updates to the GitHub Copilot desktop app (cloud and local sandboxes) and the general availability of Anthropic’s Claude Fable 5 model for Copilot, plus a quick look at GitHub Universe and an open source project spotlight.

John Savill rounds up a week of Azure platform changes and retirements, spanning compute/storage updates, database and identity improvements, monitoring changes, and several developer-facing AI items including GitHub Copilot Agent Mode in SSMS and Azure AI Foundry agent licensing and model availability.

Visual Studio Code shares a quick walkthrough of three MCP servers they use daily in VS Code—GitHub, Playwright, and Microsoft Learn—to extend GitHub Copilot Agent mode for PR review, real-browser testing, and pulling up-to-date documentation as context.

Bruno Capuano and Tommaso Stocchi walk through building distributed multi-agent applications using .NET Aspire and Microsoft Agent Framework (MAF), focusing on how multiple agents coordinate across services and exchange context. The session connects these patterns to Foundry-oriented scenarios and demonstrates them with a ski resort example.

John Savill gives a fast-paced rundown of key announcements from Microsoft Build 2026, highlighting notable platform updates across Azure, AI, and identity/security topics such as Entra and passkeys.

Visual Studio Code highlights new Integrated Browser improvements in VS Code, including saving browser favorites, taking full-page or region screenshots, and using browser content as context for GitHub Copilot and agent workflows.

Laurent Bugnion explains why Microsoft Build 2026 labs are a popular way for developers to learn through hands-on sessions, including tracks that cover AI, Copilot, and Microsoft Fabric. He also shares where to find the on-demand “Digital lab” sessions and how long they remain available after the event.

Laurent Bugnion explains why the hands-on labs at Microsoft Build 2026 are popular, highlighting practical sessions across AI, Copilot, Microsoft Fabric, and other developer topics, plus how to find and access the digital labs on demand after the event.

Dan Wahlin demonstrates an “agentic journey” workflow that takes an app idea through planning, coding, infrastructure creation, and deployment to Azure, using GitHub Copilot CLI and Azure skills to handle tasks like Bicep templates, health probes, and database wiring for an app backed by Azure SQL and Microsoft Foundry.

Mario Toffia and Priyanka Sharma share a practical look at AI-assisted coding workflows, comparing Claude Code + Cursor with GitHub Copilot CLI and focusing on what works, what breaks down, and how teams can scale usage without losing control over sensitive infrastructure.

Authorised Territory demonstrates how to govern a .NET Model Context Protocol (MCP) server by writing a YAML policy that prevents a specific tool from being executed, using the Microsoft.AgentGovernance.Extensions.ModelContextProtocol NuGet package.

Fokko at Work demos what’s new for GitHub Copilot in Visual Studio Code 1.124, focusing on Agents window usability improvements (including navigation shortcuts) and the “advanced autopilot” experience, with notes on how enterprise policies and pricing plans can affect feature availability.

Henk Boelman live-codes a real-time, voice-first multimodal agent in Azure AI Foundry using the Voice Live API, showing how to combine speech input, model reasoning, and speech output, then connect the agent to external tools via MCP so it can take real actions.

David Williams-Young and Stefan Wernli walk through the March 2026 release highlights for the Microsoft Quantum Development Kit (QDK), covering new capabilities like improved program composability and expanded QDK Chemistry support for a broader family of model Hamiltonians.

Bill Ticehurst shows how GitHub Copilot in VS Code can speed up learning and day-to-day work with the Microsoft Quantum Development Kit (QDK), focusing on practical workflows for building, debugging, and running quantum programs so you can iterate faster.

Anush Elangovan explains how AMD ROCm and Microsoft enable building and optimizing AI workloads across client devices, cloud, and on-prem environments, with an emphasis on portability and performance across different AMD hardware targets.

Visual Studio Code hosts the final Agents League challenge, where experts build business-ready knowledge agents integrated with Microsoft 365 and authored in Copilot Studio, and the audience is sent into a last sprint before the hackathon closes on June 14.

Visual Studio Code hosts an Agents League session where experts demonstrate building reasoning-based AI agents with Microsoft Foundry, focused on solving complex problems and helping participants apply the approach in their hackathon submissions.

Visual Studio Code kicks off the Agents League with a creative app-building battle, where experts demonstrate AI-assisted development using GitHub Copilot and share ideas participants can apply to their own hackathon submissions.

Learn Microsoft AI explains what an AI agent workflow is and why workflows matter when coordinating tasks across multiple agents, people, and external systems.

Authorised Territory demonstrates how to build a .NET Model Context Protocol (MCP) server over HTTP that scans for unsafe tools on startup, using the Microsoft.AgentGovernance.Extensions.ModelContextProtocol NuGet package, and pairs it with a simple .NET console client that connects to the server.

John Savill runs through a Build-special weekly Azure update, covering a wide set of platform announcements across compute, containers, integration, monitoring, databases, Fabric/Databricks, and Azure AI Foundry—plus security-focused items like confidential computing and Purview agent integrations.

GitHub demonstrates how to extend GitHub Copilot code review using Model Context Protocol (MCP) and custom skills, so reviews can incorporate internal documentation and repository-defined checklists to produce findings aligned with a team’s engineering standards.

Charles Feddersen and Abe Omorogbe explain how AI apps and agents change database design, focusing on reasoning over operational data instead of only transactions. They demo new capabilities across Azure SQL Database, Azure Cosmos DB, and Azure HorizonDB (cloud-native PostgreSQL) to simplify architectures and reduce latency.

Seth Juarez explains how Azure AI Foundry Toolboxes let teams build, discover, and govern tools across multiple AI agents, reducing duplicated integration work around authentication, credentials, and endpoint wiring.

Scott Hanselman hosts a Microsoft Build live “vibe check” where AI-assisted demos are put under scrutiny: what the AI actually built, where the seams are, and whether the result is a clever prototype or something that could hold up in production.

Cassidy Williams joins Scott Hanselman and Mark Russinovich for a live Microsoft Build session where they “vibe check” an AI-assisted demo, digging into what the AI produced versus what required human fixes, and where the seams show up when you push a prototype toward something more real.

Scott Hanselman hosts a live Build 2026 “vibe check” with Simon Willison, reviewing AI-assisted demos and digging into what the AI actually built, where the seams are, and what it would take to move from clever prototype to production-ready software.

Pierce Boggan recaps day one highlights from Microsoft Build 2026, focusing on how VS Code and GitHub Copilot roles are evolving, what’s coming next for AI adoption in the editor, and how agent-style workflows are changing developer expectations.

Addy Osmani (with Burke Holland) explains what “agent skills” are and how to structure them so AI coding tools can follow repeatable workflows that reflect senior engineering judgment, producing more consistent, production-quality outcomes.

Patrick Nikoletich and Burke Holland introduce the Copilot SDK and show how it can be used to extend GitHub Copilot by building custom, agentic experiences on the same runtime that powers Copilot.

Evan Boyle and Burke Holland walk through what’s new in GitHub Copilot CLI, including a redesigned terminal interface, a “Rubber Duck” workflow for second opinions, recurring prompts with /every, and a hands-free voice mode aimed at making terminal-based coding and review faster to iterate on.

Nikisha Reyes-Grange introduces Azure HorizonDB and Rayfin, focusing on how these Azure Data and Microsoft Fabric innovations aim to modernize PostgreSQL operations and simplify building and running data applications, including SQL-level AI functions and hybrid search concepts.

Jeff Hollan and Lee Stott explain how hosted agents in Microsoft Foundry help teams move from local agent prototypes to production-grade AI systems, with a focus on identity, isolation, evaluation, and lifecycle management so developers can deploy secure, scalable agents with clearer operational boundaries.

Vivek Bhadauria discusses how Microsoft built an end-to-end “observe → evaluate → optimize” workflow for AI agents, sharing practical lessons on agent observability, context-specific evaluation rubrics, and using inner- and outer-loop signals to continuously improve agent behavior in production.

Brad, an OpenClaw maintainer, shares how he uses the GitHub Copilot app to triage and prioritize large volumes of GitHub Issues and pull requests across his open source work, including using multiple major models under one subscription for cross-checking results.