Browse All Videos (296)

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.

Microsoft Developer shares a short sponsor session from Azure Cosmos DB Conf 2026 where Andrew Ruffin (AMD) explains how AMD EPYC hardware impacts Azure Cosmos DB performance, including performance-per-dollar claims and how lower per-request cost can translate into better RU efficiency and scaling.

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 hosts James Codella’s deep dive into Azure Cosmos DB querying and indexing, focusing on how partition routing and index choices affect performance and RU cost, with practical guidance on SQL features, index types, and tuning high-RU queries.

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 hosts Eric Boyd explaining how to use Azure Cosmos DB as a coordination mechanism for distributed workflows, covering lock/lease and leader-style patterns, saga orchestration for long-running work, and the production tradeoffs around retries, contention, hotspots, and multi-region consistency.

Microsoft Developer hosts Sid Anand sharing practical Azure Cosmos DB best practices, using a Spacely Sprockets e-commerce scenario to discuss patterns for global distribution, high availability, low-latency access, and cost-efficient design.

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 features Anurag Dutt explaining how to diagnose and fix rising Azure Cosmos DB RU costs and unstable performance using platform metrics, diagnostics, and query insights, then applying targeted changes like partitioning, query, indexing, and throughput adjustments.

Microsoft Developer hosts a session where Theo van Kraay previews MultiCloudDB for Java, a portable SDK aimed at running the same CRUD and query code across Azure Cosmos DB, Amazon DynamoDB, and Google Cloud Spanner without code changes.

Microsoft Developer hosts Justine Cocchi explaining how Azure Cosmos DB Change Feed works and how to run it reliably in production, including consumption models, partitioning and lease management, plus debugging/monitoring patterns to diagnose lag and recover from common failure modes at scale.

Microsoft Developer hosts Tural Suleymani explaining how to build and scale event-driven microservices using Azure Cosmos DB Change Feed for domain events, including partitioning choices, ordering/consistency trade-offs, and a repeatable end-to-end demo with observability and failure handling.

Microsoft Developer features Hasan Savran explaining the key data modeling decisions for Azure Cosmos DB, focusing on partition key selection, schema tradeoffs, estimating storage and scaling needs, and handling cross-partition queries to avoid costly redesigns later.

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.

dotnet hosts João Antunes discussing the transactional outbox pattern for distributed applications, using his OutboxKit toolkit as a concrete example and sharing lessons learned (plus alternatives) for avoiding lost messages and consistency issues.