Browse Artificial Intelligence Videos (196)

GitHub demonstrates how hooks work in the GitHub Copilot CLI, explaining the agent lifecycle and when hook events fire (session start, prompt submitted, and pre/post tool use). The video shows how to use these events to influence tool calls and tailor Copilot CLI behavior to your workflow.

GitHub explores context engineering in an agentic loop, testing context sharing in GitHub Copilot inside VS Code and then attempting to replicate the same approach using the Copilot SDK and LangChain.

Authorised Territory demonstrates how to add a class-based skill to an AI agent built with the .NET Agent Framework, using a locally running LLM via Ollama and building on a previously created starter solution.

Visual Studio Code highlights the Chat Customizations Evaluation extension for VS Code, which helps developers review and refine prompts, agents, and instructions files as part of an AI-focused workflow.

John Maeda explains why agentic systems benefit from a “clean molt”: trimming unnecessary context so the system doesn’t accumulate noise that degrades results. The tip focuses on practical context management—what to keep, what to drop, and why “more context” can make outputs worse.

GitHub shows how GitHub Copilot CLI can scan a repository and generate a pull request that follows contribution guidelines, issue templates, and team rules—reducing the manual work of formatting and filling out PR details.

Visual Studio Code briefly introduces Agent Plugins in VS Code, explaining that you can install plugins to add agent skills, commands, MCP servers, hooks, and more.

Rob Bos covers GitHub Copilot’s token-based billing, focusing on what “tokens” mean in practice and how usage-based pricing can affect Copilot costs for teams and organizations.

Microsoft Developer hosts a Cosmos DB Conf 2026 session where Sergiy Smyrnov demonstrates migrating an AdventureWorks-based ASP.NET/EF Core app from a relational database to Azure Cosmos DB for NoSQL, using GitHub Copilot and Cosmos DB Agent Kit prompts to plan the move and rewrite the data layer.

Microsoft Developer shares Yohan Lasorsa’s session on why “vector search by default” often fails in RAG, and how to improve retrieval quality by using agentic RAG with Azure Cosmos DB hybrid search (vector + full-text) so an AI agent fetches the right context when it actually needs it.

Microsoft Developer shares Mick Feller’s customer story on how Office Depot (ODP Corporation) built a homegrown enterprise AI “Personal Assistant” backed by Azure Cosmos DB, focusing on time-series + HR profile context, autoscale-driven growth, and cost/performance control.

Microsoft Developer features Sajeetharan Sinnathurai explaining how to set up a practical Azure Cosmos DB development environment (VS Code, emulator, testing, and CI/CD considerations) and how to use AI coding assistants more effectively by providing schema context and better prompts.

Microsoft Developer shares a keynote interview with Vercel CEO Guillermo Rauch on how AI agents change app design, why serverless compute plus serverless data matters, and what Azure Cosmos DB’s RU-based query economics look like as tokens and agent-driven workloads grow.

Authorised Territory demonstrates how to define a skill in code and attach it to an AI agent built with the .NET Agent Framework, using a locally running LLM via Ollama.

Visual Studio Code features Reynald Adolphe demonstrating how to create and use Custom Agents in VS Code (Agent Mode) so GitHub Copilot can take on specialized roles—like a security reviewer—using your project context, tools, and workflow to produce more focused results.

Visual Studio Code features Reynald Adolphe explaining how Agent Skills in VS Code package instructions, scripts, and resources into reusable workflows, with a quick demo of creating and modifying a skill to automate multi-step tasks like updating docs and generating prompts.

Visual Studio Code features Reynald Adolphe using GitHub Copilot in VS Code to explain and compare customization features—Custom Instructions, Prompt Files, Agent Skills, Custom Agents, and Hooks—plus ways to learn them via charts, quizzes, and scenario-based references.

Visual Studio Code features Reynald Adolphe explaining GitHub Copilot Hooks in VS Code: how to run commands automatically at specific lifecycle events during an agent session to keep formatting, validations, and scripts consistent without manual steps.

Visual Studio Code shows how to use Prompt Files in VS Code to stop rewriting the same GitHub Copilot instructions, making repeatable workflows (like quizzing open files or simplifying code) easier to run and share across projects and teams.

Visual Studio Code features Reynald Adolphe explaining how GitHub Copilot Custom Instructions in VS Code work in practice, showing how to create reusable “rulebooks” that steer Copilot toward your coding standards, conventions, and preferences (including SOLID and accessibility) without repeating guidance every time.