MicrosoftAGENTS.mdpowerplatform-vscode / client
microsoft/powerplatform-vscode/src/client/Agents.md
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MicrosoftAGENTS.mdMicrosoftAGENTS.mdpowerplatform-vscode / web
microsoft/powerplatform-vscode/src/web/Agents.md
This document provides setup, architecture, coding, and testing instructions for the web extension located in src/web. It is designed to help both humans and AI agents contribute effectively. The web extension extends Visual Studio Code for Power Platform scenarios. All source code for the web extension is located in the src/web directory. To build the web extension, run: This will compile the extension and output the necessary files.
MicrosoftAGENTS.mdmggraph-intune-samples
microsoft/mggraph-intune-samples/AGENTS.md
Guidance for AI coding agents and human contributors working in this repository. mggraph-intune-samples is a collection of sample PowerShell scripts that show how to use the Microsoft Graph PowerShell SDK to manage Microsoft Intune (device configuration, compliance, app protection, enrollment, managed devices, reporting, and more). It is a non-production, learning/reference repository: the scripts are meant to be read, adapted, and run by IT pros against their own tenants. It produces no build artifact and is not a dependency of other…
MicrosoftAGENTS.mdskala
microsoft/skala/AGENTS.md
Follow these conventions to produce consistent, high-quality contributions. Skala is a neural network-based exchange-correlation (XC) functional for density functional theory (DFT). The codebase includes: - Formatter/linter: Ruff (ruff format, ruff check --fix --select I). - Type checking: Pyrefly in strict mode. Ignore missing type information only for explicitly named untyped dependencies in pyrefly.toml; do not use global missing-import suppression. - Line length: 100 characters (Black-compatible). - Imports sorted via Ruff's isort rules. - Generated build, coverage, and documentation output is…
MicrosoftAGENTS.mdazure-tools-for-java
microsoft/azure-tools-for-java/AGENTS.md
Azure Toolkits for Java — IDE plugins for IntelliJ IDEA and Eclipse that help Java developers create, develop, configure, test, and deploy applications to Azure. The primary focus of active…
MicrosoftAGENTS.mdMSBuildLocator
microsoft/MSBuildLocator/AGENTS.md
This library exists to locate an MSBuild install (Visual Studio or .NET SDK) and register an assembly-resolution handler so the host app loads MSBuild's assemblies from that install. This is…
MicrosoftAGENTS.mdGitHub-Copilot-for-Azure / telemetry-reporter
microsoft/GitHub-Copilot-for-Azure/telemetry-reporter/AGENTS.md
This directory contains a standalone .NET 10 implementation of the Azure MCP server plugin-telemetry command. Read README.md for user-facing build, packaging, and usage documentation. This file defines how coding agents…
MicrosoftAGENTS.mdGitHub-Copilot-for-Azure / tests
microsoft/GitHub-Copilot-for-Azure/tests/AGENTS.md
For AI Agents: This document provides patterns and conventions for creating and maintaining tests for azure-skills plugin. When asked to "scaffold tests" for a skill, follow the instructions below. When…
MicrosoftAGENTS.mdcommunity-content
microsoft/community-content/AGENTS.md
The microsoft/community-content repository provides prepared "content-in-a-box" presentation materials for user groups, meetups, and community events. This repository contains PowerPoint presentations, supporting documentation, demo resources, and marketing materials for technical talks…
MicrosoftAGENTS.mdAzureTRE
microsoft/AzureTRE/AGENTS.md
Azure TRE provisions secure research workspaces and tooling on Azure. Changes can cross the API, resource processor, resource templates and UI. Azure TRE uses hub-and-spoke networking, Microsoft Entra ID and a zero-trust model with strict workspace boundaries. Preserve the intended network isolation and controlled data import/export through Airlock. For network or identity changes, assess outbound access, firewall FQDN rules, private endpoints, public network access and managed-identity/RBAC scope. Justify expanded access and check whether it creates a path around workspace isolation…
MicrosoftAGENTS.mdP.808
microsoft/P.808/AGENTS.md
Before making any changes to this repository, you must read and follow the instructions in .github/copilot-instructions.md. That file contains the canonical coding standards, formatting rules, and documentation requirements for this project. All code contributions — whether from humans or AI agents — must conform to those guidelines. This repository defines custom agents in .github/agents/. Use /agent in Copilot CLI to browse and select them, or reference them by name in a prompt.
MicrosoftReads credentialsAGENTS.mdlangchainjs-for-beginners
microsoft/langchainjs-for-beginners/AGENTS.md
This is LangChain.js for Beginners - a comprehensive educational course teaching AI application development with LangChain.js and TypeScript. The repository contains 9 chapters (00-08) covering everything from basic chat models to autonomous agents, RAG systems, and Model Context Protocol (MCP) integration. Architecture: Educational course structure with 80+ runnable TypeScript examples organized by topic Key Technologies: LangChain.js, TypeScript, tsx, Node.js >=22.0.0 (LTS), MCP, Microsoft Foundry Purpose: Teaching developers how to build AI-powered applications using an agent-first philosophy Teaching Approach: Agent-first (Tools…
MicrosoftAGENTS.mdvsts-extension-retrospectives
microsoft/vsts-extension-retrospectives/AGENTS.md
Instructions for AI coding agents working on the Retrospectives Extension for Azure DevOps. Azure DevOps extension with only a frontend: React 19 + TypeScript in src/. There is no backend service. All data is stored in the Azure DevOps Extension Data Service, and changes made by other users are picked up by polling. Imports - organize in order: Formatting (Prettier config): TypeScript (tsconfig): Naming Conventions: Component Pattern: Frontend: try/catch with telemetry: Inside a polling loop's poll callback, let errors propagate:…
MicrosoftAGENTS.mdmcp-dotnet-samples
microsoft/mcp-dotnet-samples/AGENTS.md
The Model Context Protocol (MCP) .NET Samples repository demonstrates how to build MCP servers using .NET 9.0. This repository contains four comprehensive sample implementations that showcase different aspects of MCP server development, from GitHub integration to web services, data management, and email communications.
MicrosoftAGENTS.mdAZD-for-beginners / chapter-02-ai-development
microsoft/AZD-for-beginners/docs/chapter-02-ai-development/agents.md
Chapter Navigation: - 📚 Course Home: AZD For Beginners - 📖 Current Chapter: Chapter 2 - AI-First Development - ⬅️ Previous: Microsoft Foundry Integration - ➡️ Next: AI Model Deployment - 🚀 Advanced: Multi-Agent Solutions AI agents are autonomous programs that can perceive their environment, make decisions, and take actions to achieve specific goals. Unlike simple chatbots that respond to prompts, agents can: This guide shows you how to deploy AI agents to Azure using Azure Developer CLI (azd). Using…
MicrosoftAGENTS.mdAZD-for-beginners / chapter-02-ai-development
microsoft/AZD-for-beginners/translations/ar/docs/chapter-02-ai-development/agents.md
تنقل الفصل: - 📚 الصفحة الرئيسية للدورة: AZD للمبتدئين - 📖 الفصل الحالي: الفصل 2 - التطوير الأول للذكاء الاصطناعي - ⬅️ السابق: تكامل Microsoft Foundry - ➡️ التالي: نشر نموذج الذكاء الاصطناعي - 🚀 متقدم: حلول متعددة الوكلاء وكلاء الذكاء الاصطناعي هم برامج مستقلة يمكنها إدراك بيئتها، واتخاذ القرارات، واتخاذ الإجراءات لتحقيق أهداف محددة. على عكس روبوتات الدردشة البسيطة التي تستجيب للمطالبات، يمكن للوكلاء: يوضح هذا الدليل كيفية نشر وكلاء الذكاء الاصطناعي على Azure باستخدام Azure Developer CLI (azd).
MicrosoftAGENTS.mdAZD-for-beginners / chapter-02-ai-development
microsoft/AZD-for-beginners/translations/bg/docs/chapter-02-ai-development/agents.md
Навигация в глава: - 📚 Начало на курса: AZD За начинаещи - 📖 Текуща глава: Глава 2 - AI-Първо разработване - ⬅️ Предишна: Интеграция на Microsoft Foundry - ➡️ Следваща: Деплоймънт на AI модел - 🚀 Напреднали: Решения с множество агенти AI агентите са автономни програми, които могат да възприемат околната среда, да вземат решения и да предприемат действия за постигане на конкретни цели. За разлика от простите чатботове, които отговарят на заявки, агентите могат: Тази инструкция показва как да…
MicrosoftAGENTS.mdAZD-for-beginners / chapter-02-ai-development
microsoft/AZD-for-beginners/translations/bn/docs/chapter-02-ai-development/agents.md
অধ্যায় নেভিগেশন: - 📚 কোর্স হোম: AZD শিখুন নবীনদের জন্য - 📖 বর্তমান অধ্যায়: অধ্যায় ২ - AI-প্রথম উন্নয়ন - ⬅️ পূর্ববর্তী: Microsoft Foundry ইন্টিগ্রেশন - ➡️ পরবর্তী: AI মডেল ডিপ্লয়মেন্ট - 🚀 উন্নত: মাল্টি-এজেন্ট সলিউশন AI এজেন্ট হলো স্বয়ংক্রিয় প্রোগ্রাম যা তাদের পরিবেশকে বুঝতে পারে, সিদ্ধান্ত নিতে পারে এবং নির্দিষ্ট লক্ষ্য পূরণের জন্য পদক্ষেপ নিতে পারে। সাধারণ চ্যাটবটের থেকে আলাদা যেগুলো শুধু প্রশ্নের উত্তর দেয়, এজেন্টগুলি পারে: এই গাইডটি দেখায় কীভাবে Azure Developer CLI (azd) ব্যবহার করে Azure-এ AI…
MicrosoftAGENTS.mdAZD-for-beginners / chapter-02-ai-development
microsoft/AZD-for-beginners/translations/cs/docs/chapter-02-ai-development/agents.md
Navigace kapitolou: - 📚 Domů ke kurzu: AZD pro začátečníky - 📖 Aktuální kapitola: Kapitola 2 - AI-First vývoj - ⬅️ Předchozí: Integrace Microsoft Foundry - ➡️ Další: Nasazení AI modelu - 🚀 Pokročilé: Multi-agentní řešení AI agenti jsou autonomní programy, které dokážou vnímat své prostředí, rozhodovat se a podnikat kroky k dosažení konkrétních cílů. Na rozdíl od jednoduchých chatbotů reagujících na výzvy, agenti mohou: Tento návod vám ukáže, jak nasadit AI agenty do Azure pomocí Azure Developer CLI (azd).
MicrosoftAGENTS.mdAZD-for-beginners / chapter-02-ai-development
microsoft/AZD-for-beginners/translations/da/docs/chapter-02-ai-development/agents.md
Kapitelnavigation: - 📚 Kursushjemmeside: AZD For Beginners - 📖 Nuværende kapitel: Kapitel 2 - AI-Første Udvikling - ⬅️ Forrige: Microsoft Foundry Integration - ➡️ Næste: AI Model Deployment - 🚀 Avanceret: Multi-Agent Solutions AI-agenter er autonome programmer, der kan opfatte deres miljø, træffe beslutninger og handle for at opnå specifikke mål. I modsætning til simple chatbots, der svarer på forespørgsler, kan agenter: Denne vejledning viser dig, hvordan du implementerer AI-agenter til Azure ved hjælp af Azure Developer CLI (azd). Valideringsnote…
About AGENTS.md
What is AGENTS.md?
An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
Where does it go?
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
What should it contain?
Setup and test commands, code style, and the rules a new contributor would need to know.
Does Claude Code read it?
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.