Browse Artificial Intelligence Videos (430)

Bruno Capuano and Angel Hernandez discuss practical enterprise patterns for adding AI capabilities to modern .NET applications, with a focus on moving from prototypes to production. The session covers architecture approaches, AI-powered workflows, and tools and practices that help teams build reliable intelligent experiences.

Matt Gordon and Anna Hoffman show how to set up anomaly detection in Microsoft Fabric using streaming change events from Azure SQL/SQL Server, then trigger alerts and actions with Fabric components like Eventstream, Eventhouse, and Activator.

GitHub walks through starting a session in the GitHub Copilot app, including writing a first prompt, adding project context from a local folder or GitHub repository, choosing an AI model, and using voice input to describe coding problems.

Visual Studio Code shows how the new Migration feature in VS Code turns existing prompts into reusable skills, focusing on a faster way to organize and reuse prompt-driven workflows inside the editor.

John Savill gives a quick overview of Rayfin and Microsoft Fabric Apps, focusing on the problem they’re trying to solve, how the Fabric Apps data model works, and what app hosting looks like in practice, with a short demo and key takeaways.

Authorised Territory demonstrates a .NET AI agent setup where an agent is allowed to rename a file inside a confined folder using the .NET Agent Framework harness, with a local Ollama-hosted LLM (gpt-oss) driving the agent’s decisions.

Reynald Adolphe and members of the VS Code and GitHub Copilot teams recap the past month’s updates, with live demos of notable Visual Studio Code improvements and GitHub Copilot changes, plus a chance for viewers to ask questions in chat.

John Savill recaps a small set of Azure updates for the week of 24th July 2026, covering new capabilities across AKS, Azure Functions runtimes, networking, DDoS protection, Defender security assessments for PostgreSQL Flexible Server, and a new Log Analytics table aimed at generative AI workloads.

Visual Studio Code shares a short announcement for a new course on using Foundry Toolkit in VS Code to build, test, debug, and deploy AI applications.

Fokko at Work walks through what’s new for GitHub Copilot in Visual Studio Code 1.130, focusing on assisted tool approvals, Agents window improvements, and chat updates, with notes on how enterprise policies and plan differences can affect feature availability.

Kayla Cinnamon gives a quick tour of the redesigned editor panel inside the Agents window in VS Code 1.129, showing how the updated layout supports agent-driven workflows and keeps code editing and AI-assisted interactions in one place.

Microsoft Developer introduces SQL MCP Server 2.0 and explains how it helps agentic apps work with production SQL data more safely, including new OBO authentication, MCP tool improvements, and security guardrails, with demos covering configuration and controlling access across Graph, REST, and MCP.

GitHub shows how to tailor the GitHub Copilot for Jira integration so teams can reach draft pull requests faster, using ticket-level and space-level instructions to set defaults like target repo and branch naming, and to route specific work (such as API refactors) to custom agents.

James demonstrates how the GitHub MCP Server connects GitHub Copilot to GitHub workflows inside VS Code, enabling natural-language issue management, pull request creation, and code review without switching tools.

Visual Studio Code shares a short clip highlighting a GitHub Copilot-related “did you know?” tip in VS Code, framed as a quick GitHub “hacking” moment for developers.

Authorised Territory demonstrates how to add sampling to a .NET Model Context Protocol (MCP) server so an MCP tool can call back into a client’s locally running LLM (via Ollama) using a chat client.

GitHub demonstrates how to kick off GitHub Copilot work directly from Jira to produce a draft pull request, including three ways to trigger Copilot and what the review-ready output looks like in GitHub.

Brady Gaster joins GitHub’s Open Source Friday to introduce Squad, an open source project aimed at building teams of AI agents that can collaborate on work for any kind of project.

GitHub shows how the GitHub Copilot app can run multiple AI coding agent sessions in parallel, so different parts of a codebase can be worked on at the same time. The example highlights splitting work across agents for bug fixes, test writing, and feature development without clobbering each other’s changes.

GitHub gives a beginner-friendly tour of the GitHub Copilot app, positioning it as an agent-native desktop workspace for GitHub tasks. It shows how to start an agent session, hand off a real coding task, watch Copilot explore a codebase, run tests, and iteratively review and merge changes.

GitHub introduces GitHub Code Quality (now generally available) and shows how CodeQL analysis plus AI-assisted findings and Copilot Autofix can surface and fix issues directly in pull requests, with rulesets to enforce quality gates at merge time.

John Savill gives an overview of Microsoft IQ and how it’s meant to bring the right intelligence (enterprise data, web data, and model capabilities) to AI agents, including the different “IQ” surfaces (Work, Fabric, Foundry, Web) and the security/identity considerations around least privilege and protection.

John Savill gives a quick overview of Microsoft IQ, outlining what it is at a high level and how it fits into Microsoft’s AI-related ecosystem.

Visual Studio Code introduces the VS Code Learn extension, aimed at making it easier to get started with agentic development workflows inside VS Code.

Authorised Territory demonstrates how to add server-side logging to a .NET MCP server and surface those log messages in a .NET console client when the client invokes a tool.

GitHub demonstrates how to onboard the GitHub Copilot for Jira integration, including installing the app from the Atlassian Marketplace, authorizing access, handling SSO, and enabling organizations so Copilot can turn a Jira work item into a draft pull request.

Visual Studio Code shows how to give GitHub Copilot more context by sharing your running website through VS Code’s Integrated Browser, so Copilot can reference what you’re seeing while you work.

Fokko at Work walks through selected new features in Visual Studio Code 1.129 related to GitHub Copilot, using short demos and calling out that availability can vary based on enterprise policies and pricing plans.

Microsoft Developer walks through what’s new in Data API builder (DAB) 2.0, focusing on how it sits between an app and a database to expose APIs without writing custom CRUD endpoints. The overview highlights new secrets management, broader authentication options, improved authorization controls, and integration points.

GitHub hosts a live Rubber Duck Thursday session exploring the new GPT-5.6 models (Luna, Terra, Sol) inside the GitHub Copilot App, focusing on what changes when you switch models and how that affects Copilot’s behavior during real-time usage.

Authorised Territory demonstrates how to add console telemetry to a .NET AI agent harness by wiring up a trace provider and emitting traces using OpenTelemetry, with a local Ollama model (gpt-oss) used as the LLM runtime.

Davide Mauri shares a practical first tip for developers who are new to Microsoft Azure and want to start building a full-stack AI application while keeping costs under control, pointing viewers toward Azure’s Budget Bytes guidance and related Azure services.

Michael Washington explains how he built AI Story Builders, an open-source app that uses structured story data, embeddings, and RAG, plus a knowledge-graph layer, to help authors generate more coherent fiction and query story context more reliably.

Visual Studio Code shows how to run language models locally in VS Code using the Ollama extension, including configuring custom models, bring-your-own-key providers, and utility model settings, with an emphasis on keeping processing private on your machine.

Bruno Capuano and Pablo Nunes Lopes host a .NET + AI Community Standup covering recent updates around agent development in .NET, running models locally, and using GitHub Copilot in modernization scenarios, with pointers to Microsoft Learn resources for getting started.

Microsoft Developer demonstrates a real-time 3D digital twin of a wind farm built in Microsoft Fabric, combining LiDAR-derived terrain geometry, live turbine telemetry from a Fabric Eventhouse, and a natural-language interface that can identify underperforming turbines and estimate cost impact.

Helen Hou-Sandí explains how GitHub addressed an accessibility issue in pull requests where status checkmarks were hard to distinguish, and how the team used GitHub Copilot to quickly investigate unfamiliar code and ship a design fix that improves the PR review experience.

Authorised Territory demonstrates how a .NET AI agent running in a harness can request human approval before executing a tool, using a locally hosted LLM via Ollama.

GitHub announces that the GitHub Copilot desktop app is now available across every plan, including Copilot Free and GitHub Education, and highlights agentic coding sessions plus bring-your-own-key support for custom AI model providers.

GitHub recaps this week’s developer news, including the general availability of the GitHub Copilot app (now supporting free and education plans plus bring-your-own-key), GitHub Issue Fields reaching general availability, and quick updates on new ECMAScript JavaScript methods and the new HTTP QUERY method.