Browse All Artificial Intelligence Content (832)

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.

Vineela Suri explains how the Azure SRE Agent plugin marketplace works: teams publish plugins (skills + MCP connectors) to a shared GitHub repo, and any SRE Agent instance can discover and install them. The post walks through an AKS incident investigation example and the marketplace.json manifest structure.

skundapura explains how to observe and troubleshoot AI agent workloads in Azure AI Foundry, comparing tracing and telemetry support across Microsoft Agent Framework, Semantic Kernel, LangChain/LangGraph, and the OpenAI Agent SDK using OpenTelemetry with Azure Monitor and Application Insights.

dbandaru shows how to connect the New Relic-hosted MCP server (Preview) to Azure SRE Agent, including API key setup, RBAC considerations, and how to create a New Relic-focused subagent/skill so the agent can query NRQL, traces, logs, metrics, alerts, and dashboards via natural language.

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.

Jack Batzner shows how to add a governance layer to MCP-based AI agents in .NET using the Agent Governance Toolkit, including policy-driven tool-call authorization, security scanning of tool definitions, response sanitization to reduce prompt-injection risk, and built-in audit/telemetry via OpenTelemetry.

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.

VaidhyaP introduces AG-UI (Agent–User Interface), a protocol for connecting AI agents to rich frontends with streaming events, declarative UI proposals, shared state updates, and human-in-the-loop approvals, plus practical security guidance like Azure AD protection and Key Vault-backed secrets.

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.

Samarpitaa explains where Azure AI Foundry IQ fits (and doesn’t) for enterprise agent knowledge access, then shows a reference approach for querying Foundry IQ knowledge bases directly via the Azure AI Search Python SDK with permission-aware retrieval and citations.

Shah_Viral explains how to build an enterprise “knowledge copilot” on Azure using Foundry IQ knowledge bases and Azure AI Search agentic retrieval, including C#/.NET setup, MCP-based agent connection, and key trade-offs around preview maturity, cost, latency, and security controls like ACLs and Purview labels.

dikshashakya explains how to turn long-form video transcripts into structured Standard Operating Procedures (SOPs) using GraphRAG to build a knowledge graph and Azure OpenAI to generate grounded sections like scope, definitions, responsibilities, and step-by-step procedures.

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.

Sergey Menshykh announces A2A Protocol v1.0 support in Microsoft Agent Framework for .NET, showing how to discover and call remote A2A agents, stream responses, and host your own agents as A2A endpoints in ASP.NET Core with updated v1 hosting APIs and migration notes from v0.3.

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.

Mark Downie covers the April Visual Studio 2026 update, focusing on GitHub Copilot’s new cloud agent workflow, user-level custom agents, and a Debugger Agent that validates fixes against real runtime behavior, plus improvements to C++ agent tools, IntelliSense vs Copilot completion priority, and configurable Copilot shortcuts.