Content by Microsoft Developer (399)
Microsoft Developer presents a Data Exposed session on Fabric Database Hub, focusing on bringing Azure SQL, SQL Server, Cosmos DB, PostgreSQL, and Fabric databases into a single place for discovery, estate-level visibility, governance, and AI-assisted insights to prioritize actions.
Microsoft Developer demonstrates an end-to-end workflow for building and shipping a hosted AI agent from the terminal using GitHub Copilot CLI and Microsoft Foundry, including planning, resource creation, model selection, evaluation-driven improvements, and a secure Azure Functions proxy to connect the agent to a website chat experience.
Microsoft Developer highlights updates across .NET Aspire, Azure Virtual Machines, and SQL Server, focusing on what’s new in Aspire 13.6 for distributed app debugging, Azure VM lifecycle guidance changes, and running SQL Server on Azure Local when cloud-only isn’t an option.
Microsoft Developer explains how to debug an AI agent that’s slow or confidently wrong by turning on server-side tracing for an Azure AI Foundry project and inspecting each run step-by-step in Application Insights, including model calls, tool calls, tokens, and latency, then querying patterns with KQL.
Microsoft Developer explains why an AI agent’s output quality depends on the context you can retrieve at runtime, and shows how Foundry IQ-style capabilities connect agents to enterprise data, ground responses, and enable actions across business workflows.
Microsoft Developer announces an October 8, 2026 webinar focused on getting started with Copilot Studio, including what to learn first and how Agent Academy can help build practical AI builder skills.
Microsoft Developer explains how to evaluate Azure AI Foundry Model Router against a baseline model (for example GPT-5) to understand cost, latency, and quality trade-offs, using the open-source Model Router Auto Evaluation toolkit and its HTML dashboard output.
Microsoft Developer hosts a Data Exposed episode with the Azure SQL product management and engineering team, explaining how Azure SQL Database Hyperscale implements vector indexing (DiskANN) to support fast approximate vector search, filtering, and DML at scale, including billion-row scenarios and GA availability.
Microsoft Developer closes out the Fly with Copilot Redmond event with a recap of the main ideas and innovations, plus pointers to resources and concrete next steps attendees can use to keep learning after the event.
Microsoft Developer introduces Microsoft Copilot Studio fundamentals for building custom agents, including how instructions, knowledge, tools, skills, memory, and MCP fit together, plus an overview of the new GitHub Copilot harness for reasoning-heavy, multi-step agent scenarios.
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.
Microsoft Developer shares a short announcement for an October 8, 2026 session focused on getting started with Copilot Studio, including what to learn first and how Agent Academy can help build practical AI builder skills.
Microsoft Developer explains how Azure AI Foundry’s Toolbox helps AI agents use tools safely, separating read-only actions from operations that require approval. Using an MCP-governed toolset, the video shows how to centralize tool definitions, control permissions for sensitive actions like refunds, and keep token costs stable as the toolbox grows.
Microsoft Developer shares an Azure Essentials Show conversation on estimating and controlling the cost of AI workloads on Azure, including what drives spend (models, compute, storage, and usage patterns) and how to use Azure pricing and governance tools to avoid surprises as you scale.
Microsoft Developer shares a weekly developer-news roundup covering .NET memory dumps for diagnosing failures, the pitfalls of migrating time-related data between PostgreSQL and SQL Server, and how AI agents can use stronger isolation plus durable memory with Microsoft Foundry and Azure Blob Storage.
Microsoft Developer demonstrates how to use Azure AI Foundry’s model router so a single deployment can dynamically route requests to different models, balancing cost and quality while keeping the agent integration to a minimal code change.
Microsoft Developer announces a Copilot Studio skilling session on October 8, 2026, focused on what to learn first, how to get started building with Copilot Studio, and how Agent Academy supports hands-on AI builder skills.
Microsoft Developer shows how to use the Microsoft Foundry model catalog to choose an AI model based on measured results instead of intuition, comparing deployments with the same evaluation while tracking quality, latency, token usage, and cost.
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.
Microsoft Developer introduces Rayfin, an open-source SDK and CLI for defining and deploying application backends to Microsoft Fabric as first-class Fabric items, highlighting how Fabric identity, governance, and compliance carry through to the deployed app and why Fabric’s SQL database option matters.
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.
Microsoft Developer introduces the Azure SQL Database Foundations series, positioning it as an entry point for learning core concepts around Azure SQL Database and how it fits into building and running cloud-hosted relational databases on Azure.
Microsoft Developer covers automatic index compaction (public preview) and how it can reduce or eliminate traditional index maintenance work for Azure SQL Database, Azure SQL Managed Instance, and SQL database in Microsoft Fabric.
Microsoft Developer introduces Toolboxes in Microsoft Foundry as a way to make MCP (Model Context Protocol) integrations more enterprise-ready, with centralized governance, consistent authentication, and reusable configuration across multiple agents and tools.
Microsoft Developer discusses the MCP Triggers & Events experimental extension, showing how agents can poll MCP servers for events and be triggered via webhooks, and what new event-driven agent architectures this enables.
Microsoft Developer explains why Dynamic Client Registration becomes a scaling problem for MCP clients, and how switching to Client ID Metadata Documents turns the client_id into a durable, URL-based identity that servers can fetch on demand.
Microsoft Developer demonstrates how to build modern Model Context Protocol (MCP) servers in VS Code, moving beyond simple local tool calls to more production-ready agent integrations with notifications, elicitation, stateless HTTP, and plugin-based distribution.
Microsoft Developer demonstrates how to build a no-code AI agent in the Azure AI Foundry Portal: create a Foundry project, deploy a model, connect an MCP server for a cupcake store scenario, then validate the agent using tracing, token usage metrics, and evaluations.
Microsoft Developer demonstrates building the “Sparkles” AI agent in VS Code using the Microsoft Foundry Toolkit, including deploying a model, wiring up an MCP server, and validating the agent with traces and evaluation runs for repeatable testing.
Microsoft Developer demonstrates how to turn a deployed model into a reusable AI agent using the Microsoft Foundry SDK in Python, including adding instructions, running a multi-turn conversation, and wiring in MCP tools so the agent can take actions while maintaining context.
Microsoft Developer presents a student-focused course that uses the GitHub Copilot app to turn a resume into a live portfolio site, while teaching Git fundamentals, GitHub Pages deployment, Copilot modes, context/tokens, MCP servers, skills, and bring-your-own-model with Azure AI Foundry.
Microsoft Developer shares a quick developer news roundup covering Bring Your Own Model entering preview in Visual Studio, updates to the model router in Microsoft Foundry Models (including region expansion and refreshed model pool), and the announced date for .NET Conf 2026.
Microsoft Developer walks through the practical work needed to take an AI agent from prototype to production using Azure AI Foundry and Microsoft Agent Framework, including model selection, MCP-based prompts, tool calling, tracing, evaluation, monitoring, and governance guardrails.
Microsoft Developer walks through day-to-day database change workflows using SQL projects in VS Code, focusing on safer refactoring, catching errors early with IntelliSense, and generating publish scripts and profiles to deploy schema changes across environments.
Microsoft Developer shares a quick news update covering Agent Optimizer in Microsoft Foundry, the GA release of Agent Plugins 1.0 across multiple Copilot surfaces, and a timeline note that Claude Sonnet 4.6 will leave most GitHub Copilot experiences on September 1.
Microsoft Developer announces MCP Live on Sept 9th, with agenda and event details available via the official link and streaming on the Microsoft Developer and VS Code YouTube channels.
Microsoft Developer presents a lightning talk that rapid-fires practical GitHub capabilities teams often overlook, spanning collaboration features and modern delivery workflows, plus newer AI and agentic workflow concepts you can apply in day-to-day engineering work.
Microsoft Developer presents a demo-focused overview of Azure SQL Database Hyperscale, explaining its architecture and how independent compute and storage scaling can help applications handle changing demand without disruptive migrations.
Microsoft Developer features Bob and Anna demonstrating how to migrate a SQL Server workload to Azure SQL Database Hyperscale using Azure Database Migration Service, with practical considerations and takeaways for getting onto an always up-to-date managed SQL platform.
Microsoft Developer presents an overview of “feedback-based learning” techniques for improving agentic RAG systems running on Azure, focusing on how to close the loop between user/system feedback and retrieval + generation quality over time.