Content by microsoft developer (381)
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.
Microsoft Developer covers how to secure AI agents running on Azure, focusing on trust boundaries, safe tool access, and gateway-based controls to reduce common agent risks like prompt injection and data leakage.
Microsoft Developer shows how to go from an initial idea to a working AI agent quickly by combining Copilot Studio with Claude Code, focusing on the practical flow of building and shaping an agent rather than theory.
Microsoft Developer presents an end-to-end reference architecture for building an enterprise AI platform on Azure, spanning ingestion through embeddings and vector search to API exposure and partner integrations, with practical patterns for scaling, observability, and secure operations across serverless and container runtimes.
Microsoft Developer introduces Work IQ, Foundry IQ, and Fabric IQ and how they fit together for building intelligent agents across application workflows and data/analytics scenarios.
Microsoft Developer explains why treating AI interactions as “specs” (with clear requirements and tests) is more reliable than ad-hoc prompting, and how to structure inputs and evaluation so LLM-powered features behave predictably in real applications.
Microsoft Developer shows how to build a Model Context Protocol (MCP) server from scratch using the MCP C# SDK, then connect it to an AI agent in Microsoft Foundry by defining tools, prompts, and resources that bridge real systems with LLMs.
Microsoft Developer introduces a beginner-friendly series that teaches GitHub Copilot through a single practical project: turning a resume into a portfolio website, publishing it with GitHub Pages, and iterating using better prompting, context management, MCP servers, and agent skills.
Microsoft Developer explains how Azure SQL Hyperscale’s architecture supports elastic scaling, predictable performance, and cost-efficient operation while staying SQL Server compatible, and shows how to build modern SQL-based apps using JSON APIs, REST-style data access, vector search, and SQL MCP for AI agent integration.
Microsoft Developer presents a demo-heavy session showing how to build AI applications securely on top of SQL and Microsoft’s data platforms, from Azure to Microsoft Fabric, with practical examples developers can reuse.
Microsoft Developer shows how to build an AI-powered application using the GitHub Copilot SDK (the same engine used by Copilot in the CLI), including connecting the app to tools and applying practical patterns to keep AI behavior reliable and under control.
Microsoft Developer demonstrates a terminal-first workflow using GitHub Copilot CLI to turn a rough idea into a concrete plan, code edits, and a reviewable set of changes without leaving the command line.
Microsoft Developer introduces SQL MCP Server, a Data API Builder-based approach for letting AI tools like GitHub Copilot query SQL Server, Azure SQL, and Fabric SQL Database through a governed, RBAC-enforced interface instead of direct raw SQL access.
Microsoft Developer explains how to implement practical, high-performance vector search in SQL Server using DiskANN, including how to store vectors, build the right indexes, and write queries that combine semantic similarity with relational filters and full-text search for more precise results.
Pamela Fox and Liam Hampton host MCP Live, a half-day event covering the Model Context Protocol (MCP) as an open standard for connecting AI models to tools and data, including ecosystem adoption, hands-on MCP server building in VS Code, and enterprise topics like authentication, governance, and security.
Microsoft Developer shares a 2-minute weekly roundup covering an AI agent preview in Visual Studio built on the GitHub Copilot SDK, plus Azure AI Foundry model updates and the MCP C# SDK 2.0 release with stateless-first communication and improved interoperability.
Microsoft Developer introduces the Microsoft Quantum Development Kit (QDK), an open-source platform for building quantum applications across Q#, Python, OpenQASM, Qiskit, and Cirq, with QIR support plus integrated simulation and resource estimation tools, and AI-powered assistance in VS Code and GitHub Copilot.
Microsoft Developer shares Shireesh Thota’s perspective on turning “data everywhere” into usable intelligence by bringing data together, adding context, and applying AI on top—framed as an architecture discussion rather than a single feature walkthrough.
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.