Browse Artificial Intelligence Videos (426)

Paula Santamaría and Julia Schröder Langhaeuser present a production Retrieval-Augmented Generation (RAG) architecture built on Azure Database for PostgreSQL, explaining why Postgres can be a solid foundation for RAG at scale and what it takes to move from prototype to production with performance tuning and monitoring.

Abe Omorogbe explains how PostgreSQL is evolving into a backbone for production AI agent workflows, focusing on reliable and safe data retrieval. He covers MCP-based agent patterns, common failure modes when agents generate SQL, and emerging approaches like context correction and blended retrieval across relational, vector, and graph techniques.

Amar Digamber Patil explains what viewers will learn from the Budget Bytes series, focusing on building AI-powered applications on Azure SQL and how to evolve from simple setups to more scalable architectures while keeping costs within a $25 budget.

Amar Digamber Patil introduces the Budget Bytes series and explains what viewers will learn about building AI-powered apps with Azure SQL, covering approaches that start simple and scale up while staying within a $25 budget.

GitHub announces the general availability of the GitHub Copilot app, a native desktop experience focused on agent-driven development. GitHub highlights starting sessions from issues and pull requests, running work in parallel, and using a unified workspace with full GitHub context to take tasks from issue to merge.

GitHub shares how ASOS adopted GitHub Copilot after migrating to GitHub, focusing on reducing developer toil and speeding up delivery. It highlights using Copilot to streamline pull requests and building custom AI agents so engineers can spend less time on routine work and more time shipping features.

Visual Studio Code shares a quick set of “top tips” from the engineering team, highlighting practical editor features like subagents, favorite shortcuts, and a few hidden easter eggs, plus a mention of event agent markdown files and GitHub Copilot-related workflows.

Affan Dar and Charles Feddersen share how Microsoft is investing in PostgreSQL upstream and how that work feeds into Azure Database for PostgreSQL, including scaling features, HorizonDB, developer tooling, and a look at building AI pipelines inside Postgres.

Pamela Fox presents a practical design discussion on building Model Context Protocol (MCP) servers for PostgreSQL, focusing on how tool interfaces affect LLM query accuracy and safety. She compares free-form SQL vs typed tools, and walks through common failure modes like SQL injection, risky mutations, and expensive queries.

Matt McFarland explains how PostgreSQL developer tooling is being extended from the VS Code PostgreSQL extension into AI-driven environments like Cursor and the GitHub Copilot CLI, using an MCP server as a shared interface for connections, queries, schema inspection, and performance analysis.

dotnet presents a short walkthrough on modernizing existing .NET applications and quickly adding agentic (AI agent) capabilities, focusing on practical steps and resources for .NET developers.

dotnet presents a session on using GitHub Copilot to modernize legacy .NET Framework applications, focusing on AI-assisted workflows to assess, plan, and execute upgrades to the latest .NET with less manual effort and lower migration risk.

James Montemagno, Burke Holland, and Pierce Boggan demo “vibe coding” workflows in VS Code using Claude Fable 5 with GitHub Copilot, focusing on what the model enables for day-to-day AI-assisted coding and how it fits into real development habits.

Reynald Adolphe, Kyle Cutler, Giuseppe Ciance, and Vritant Bhardwaj recap the major Visual Studio Code and GitHub Copilot updates from the past month, with demos of features like the Integrated Browser, Issue Reporting improvements, and BYOK enhancements.

Microsoft Developer shares a short clip from Cozy AI Kitchen featuring John Maeda and Griffin Norris, touching on robots, AI agents, and Copilot in the context of Microsoft’s AI ecosystem.

Visual Studio Code introduces “bring your own key” support, letting developers use their own model provider API keys with VS Code and GitHub Copilot without signing in, and points to the setup guide for enabling expanded model choice.

Griffin Norris demonstrates how AI agents and Microsoft Copilot can speed up robotics development by generating robot control code from natural language, connecting robots to AI models via MCP servers, and adding vision-based scene understanding for interactive, feedback-driven control.

Daniel Costea shows how to use ChatClient and Microsoft Agent Framework middleware to turn a basic .NET AI agent into something you can run in production, with guardrails for safety, privacy, observability, and cost control, using an ASP.NET Core-style middleware mental model.

GitHub shows how the GitHub Copilot app helps move work from an issue to a merged pull request, using features like plan mode and agent merge to guide agentic changes, handle CI failures, and land PRs with more control.

Visual Studio Code shows how to use VS Code’s language model system to bring your own AI provider without signing into Copilot, including native providers like Anthropic, custom endpoints, third-party integrations, and running local models offline.

Microsoft Developer shares a 4-minute trailer previewing Livestream 1 of POSETTE 2026, highlighting 11 PostgreSQL-focused talks that include Microsoft’s Postgres roadmap, performance tuning, AI tooling, Azure infrastructure choices, and a comparison of PostgreSQL vs. SQL Server security models.

Jesse Liberty introduces agentics and where agentic AI fits in the broader AI ecosystem, including supporting concepts like RAG and related building blocks developers use when designing AI-driven applications.

Ayan Gupta, Sandra Ahlgrimm, and Yoshio Terada show how GitHub Copilot can be used to modernize a legacy Java application through a structured workflow, using a real migration from Java 5/Struts to Java 21/Spring Boot and finishing with deployment to Azure.

GitHub shares a GitHub Checkout episode where Andrea and James Clancey walk through the agent-first GitHub Copilot desktop app, focusing on parallel agent workflows, using git working trees for isolation, and features like agent merge, MCP integrations, and supported model options including local models.

Learn Microsoft AI explains the core middleware layers used in modern AI agent frameworks—agent, function, and chat middleware—and how they shape execution flow, tool orchestration, and message processing for building scalable agent applications with Microsoft technologies.

Authorised Territory demonstrates how to expose a .NET AI agent through an OpenAI-compatible HTTP endpoint using the Chat Completions API protocol, built with an ASP.NET Core Empty project in Visual Studio 2026 and tested via an HTTP request file, with the agent running against a local Ollama model (gpt-oss).

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.

Carlos Robles demonstrates new capabilities in the MSSQL extension for VS Code, including spec-driven development with GitHub Copilot, AI-assisted schema design with Schema Designer, and generating REST and GraphQL endpoints using Data API builder and MCP to get from a spec to a running API inside the editor.

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.