Browse GitHub Copilot Videos (128)

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.

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.

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.

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.

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.

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 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.

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).

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.

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.

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.

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.

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.

Meagan demonstrates how GitHub Copilot can be used across Slack, Microsoft Teams, GitHub.com, the GitHub mobile app, and VS Code to keep coding work moving in the same conversation where teams collaborate.

Kyle Daigle opens GitHub Copilot Day by outlining how software development is moving from manual coding toward agentic orchestration, and introduces GitHub’s HydraFusion work on optimizing model selection to reduce cost while improving quality. He also previews the shared runtime, the Copilot app, and the Copilot SDK for building custom workflows.

GitHub shows how the GitHub Copilot app can automate a daily pull request review workflow by grouping dependency update PRs by risk, checking CI build statuses, and summarizing what looks safe to merge.

GitHub explains how teams can move beyond basic AI code completion and chat to agentic workflows that automate real engineering tasks. The video highlights an internal GitHub example that automates a documentation lifecycle across multiple repositories using an agentic workflow approach.

Matt Pocock shares 25 practical “agent skills” for getting more consistent results from GitHub Copilot, including techniques for aligning on requirements, generating more useful pull requests, and running code review and architecture checks earlier in the implementation process.

James Montemagno and Pierce Boggan demonstrate an end-to-end “agent-native” workflow with GitHub Copilot, moving between Slack, the Copilot app, VS Code, and the terminal to build, test, and ship an application. The session highlights connected agent sessions, live previews, automated issue triage, PR creation and resolution with agent merge, and HydraFusion for model/workflow selection.

Fokko at Work demos the GitHub Copilot and Visual Studio Code 1.138 updates, focusing on sharing Copilot automations, running agent sessions inside local Dev Containers, and improvements to Voice Mode session awareness, with notes on how enterprise policies and pricing plans can affect feature availability.

Bruno Capuano and Justin Yoo walk through updates to Interview Coach, a .NET sample that combines Microsoft Agent Framework with GitHub Copilot SDK to build an agent-powered interview practice app, including MCP-based shared tools and a Blazor UI.

Microsoft Developer shows how to build and customize a hosted agent directly from the GitHub Copilot Chat window using Foundry Canvas, focusing on moving from an initial agent to a more production-ready setup with best-practice checks, generated fixes, observability upgrades, and testing with Agent Inspector.

Aashna Garg and Julia Kasper explain Project HydraFusion in GitHub Copilot, focusing on how orchestrating multiple models per request (instead of selecting a single model) can reduce frontier-model costs, and how the approach is evaluated with demos and benchmarking.

GitHub shows how to hand off an active GitHub Copilot app session into VS Code so you can keep working in your editor without losing context, including the task plan, conversation history, diffs, and an isolated git worktree, then push changes back to a pull request.

Microsoft Developer shows how to use GitHub Copilot with a Microsoft Foundry skill to review and refactor an existing “Sparkle Cupcakes” agent, aligning it with current Foundry patterns and SDK guidance while improving production readiness.

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.

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.

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.

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.

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.