Browse All Artificial Intelligence Content (1120)

Allison announces expanded GitHub Copilot app reporting in the Copilot usage metrics API, adding user attribution and rollups across features, models, and languages, plus token and code activity breakdowns to help enterprises compare Copilot surfaces consistently.

Jeff Handley announces MCP C# SDK v2.0, which implements the 2026-07-28 MCP specification revision. The post explains the new stateless-first HTTP transport, standardized routing headers, and Multi Round-Trip Requests (MRTR) for interactive tools, plus what stays backward compatible and what changes for Tasks and other extensions.

Chris Noring explains how to investigate unexpected GitHub Copilot Enterprise AI-credit spend and then control it using GitHub Billing guardrails. The post walks through identifying the SKU driving costs, attributing usage to organizations and cost centers, and applying budgets, alerts, and per-user limits without breaking productive workflows.

Allison announces that Grok 4.5 (xAI’s reasoning model) is rolling out in GitHub Copilot, highlighting its large context window, multimodal inputs, and suitability for agentic, multi-step coding workflows. The post also covers where you can select the model and how admins enable it for Business and Enterprise.

prateekwrites explains why “cost per token” is a misleading metric for agentic systems, and proposes “cost per accepted task” as the unit that matters. The post maps this idea to an Azure reference architecture using APIM’s GenAI gateway, Azure AI Foundry evaluations, and a policy loop driven by telemetry and alerts.

Bruno Capuano and Angel Hernandez discuss practical enterprise patterns for adding AI capabilities to modern .NET applications, with a focus on moving from prototypes to production. The session covers architecture approaches, AI-powered workflows, and tools and practices that help teams build reliable intelligent experiences.

Matt Gordon and Anna Hoffman show how to set up anomaly detection in Microsoft Fabric using streaming change events from Azure SQL/SQL Server, then trigger alerts and actions with Fabric components like Eventstream, Eventhouse, and Activator.

Mark Downie introduces the Visual Studio July update, centered on a new Agent (Preview) in Copilot Chat built on the GitHub Copilot SDK. The post also covers built-in .NET and Azure skills, org-level Copilot custom instructions, attaching Git branches as chat context, and improved MSVC toolset discovery for reproducible C++ builds.

Nora Zhan introduces “Physical-World Intelligence” and explains how GeoAI combines geospatial data (weather, satellite imagery, sensors, and maps) with enterprise context and AI. The article outlines Microsoft Foundry’s geospatial model catalog, Planetary Computer Pro as a GeoAI data plane, and a GeoAI SDK for production-scale inference workflows.

GitHub walks through starting a session in the GitHub Copilot app, including writing a first prompt, adding project context from a local folder or GitHub repository, choosing an AI model, and using voice input to describe coding problems.

Sergey Menshykh explains how .NET agents can discover and load Agent Skills directly from a Model Context Protocol (MCP) server using the Microsoft Agent Framework, so teams can publish skills centrally and have agents pull them on demand without redeploying.

tonimontez explains how to govern GitHub Copilot’s usage-based spend using GitHub’s native budget controls first, then adds an Azure API Management gateway in front of an Azure AI Foundry (Azure OpenAI) deployment for real-time, token-granular quotas and per-developer telemetry.

Allison announces updates to GitHub Copilot for JetBrains, including configurable OpenTelemetry export for agent workflows, tighter controls for model behavior (token limits, enabling/disabling built-in models), and support for MCP servers and custom agents in Claude agent flows, plus Copilot CLI and UX improvements.

Visual Studio Code shows how the new Migration feature in VS Code turns existing prompts into reusable skills, focusing on a faster way to organize and reuse prompt-driven workflows inside the editor.

Allison announces a new dedicated policy for the GitHub Copilot app, letting enterprises and organizations control access independently from Copilot CLI. The update keeps existing guardrails in place by routing changes through isolated workspaces and pull requests, so reviews, checks, and audit history still apply.

Burke Holland shares a practical GitHub Copilot “harness” workflow for building features end-to-end: pick a Copilot surface, enable more autonomy safely, prototype and plan in the same session, implement with Autopilot, then iterate and run a Rubber Duck review to catch blind spots.

AmirJafari announces updates to Fabric data agents in Microsoft Foundry, focusing on simpler MCP-based connectivity, OneLake Catalog discovery, support for attaching multiple data agents to a single Foundry agent, and improved production troubleshooting via Foundry Observability traces and logs.

John Savill gives a quick overview of Rayfin and Microsoft Fabric Apps, focusing on the problem they’re trying to solve, how the Fabric Apps data model works, and what app hosting looks like in practice, with a short demo and key takeaways.

Satya Nadella announces MAI-Cyber-1-Flash, a cybersecurity-focused model aimed at finding difficult vulnerabilities in large codebases, and describes how it pairs with MDASH to reduce cost while maintaining strong results. He also introduces Project Perception, an agentic security offering built around real-world signals and security workflows.

Allison announces that enterprise managed settings now apply to the GitHub Copilot app and Copilot cloud agent, letting enterprise owners enforce a single managed-settings.json policy across more Copilot clients, including controls for plugins, marketplaces, and approval-prompt bypass behavior.

Yuliia Kovalova and Jan Krivanek introduce the MSBuild Binlog Analyzer for VS Code, a preview extension that uses GitHub Copilot Chat plus an MCP server to explain build failures, pinpoint performance bottlenecks, compare builds, and spot regressions directly from MSBuild .binlog files.

mayurjain explains how the OpenAI Assistants API retirement on August 26, 2026 affects programmatic integrations with Microsoft Fabric Data Agents, and why Microsoft recommends moving to the Data Agent Model Context Protocol (MCP) endpoint instead of rebuilding directly on OpenAI’s Responses API.

vladvino announces the public preview of the AI Gateway tier for Azure API Management, focused on publishing and governing AI models and MCP servers. The post explains the new portal experience, policy-card governance (rate limits, quotas, Content Safety, fallback), and OpenTelemetry token metrics to destinations like Application Insights.

sbaynes introduces MAI-Cyber-1-Flash, Microsoft’s compact cyber-focused model used inside MDASH to handle most security tasks at lower token cost, while reserving larger models for harder cases. The post also outlines Project Perception’s agentic security workflows and the safety, governance, and enterprise controls built into deployment.

Ram Shankar Siva Kumar announces Microsoft’s External Red Team Alliance (EXTRA), a global effort to expand AI red teaming beyond internal teams by funding academic research and building an external network of specialists to test frontier AI systems across languages, regions, and domains.

Christopher Harrison introduces the GitHub Copilot app and shows how it supports real-world development workflows with project-scoped agent sessions, Quick Chat for parallel threads, interactive canvases for visual iteration, and Agent Merge to help move pull requests through CI and review.

Shireesh Thota summarizes what customers say they value most in Microsoft’s database portfolio, and ties that feedback to recent and upcoming investments across SQL Server, Azure SQL Database, Azure Database for PostgreSQL, and Azure Cosmos DB—especially around reliability, scalability, and AI-ready capabilities like vector search and RAG.

Lee Stott explains why the Model Context Protocol (MCP) is becoming the standard way AI agents connect to tools and data, then shows minimal runnable MCP server examples in Python and TypeScript plus practical guidance for VS Code hosting, security, and production operations.

John Edward explains how to build an AI-powered IT support agent on Azure, using Azure AI Foundry with Azure OpenAI Service and (optionally) Azure AI Search for RAG-based answers grounded in internal documentation, plus ideas for automating common help desk actions like ticket creation and password resets.

This week's Weekly AI Roundup is about AI features that are starting to look like real workflow infrastructure: more Copilot model choices (Claude Opus 5 and Gemini 3.6 Flash), more places to run coding agents, and clearer controls for approvals, auditability, and spend. Copilot's ticket-to-PR story got deeper with Linear GA, mobile-triggered agent fixes for failed CI checks, and new agent automation controls in GitHub Issues, while GitHub Code Quality reached GA with enforceable gates and Autofix in PRs. On the platform side, MCP moved toward a stateless spec and stronger governance patterns (including Azure API Management and OBO identity), and Microsoft pushed more of the "ship and operate" stack with Agent Framework releases, Foundry Toolboxes, and an observability agent for day-two operations.

Authorised Territory demonstrates a .NET AI agent setup where an agent is allowed to rename a file inside a confined folder using the .NET Agent Framework harness, with a local Ollama-hosted LLM (gpt-oss) driving the agent’s decisions.

Reynald Adolphe and members of the VS Code and GitHub Copilot teams recap the past month’s updates, with live demos of notable Visual Studio Code improvements and GitHub Copilot changes, plus a chance for viewers to ask questions in chat.

Allison announces that Anthropic’s Claude Opus 5 is now selectable in GitHub Copilot, highlighting its strengths on long-running, multi-step coding tasks and agentic workflows, plus where it’s available, how admins enable it for Business/Enterprise, and how usage-based billing applies.

John Savill recaps a small set of Azure updates for the week of 24th July 2026, covering new capabilities across AKS, Azure Functions runtimes, networking, DDoS protection, Defender security assessments for PostgreSQL Flexible Server, and a new Log Analytics table aimed at generative AI workloads.

Visual Studio Code shares a short announcement for a new course on using Foundry Toolkit in VS Code to build, test, debug, and deploy AI applications.

Fokko at Work walks through what’s new for GitHub Copilot in Visual Studio Code 1.130, focusing on assisted tool approvals, Agents window improvements, and chat updates, with notes on how enterprise policies and plan differences can affect feature availability.

carlottacaste shares a short walkthrough of the Foundry Toolkit for Visual Studio Code and a companion VS Code Learn course, focused on keeping model selection, prompt iteration, and agent development inside VS Code, with links to a full video playlist and a featured setup episode.

Kayla Cinnamon gives a quick tour of the redesigned editor panel inside the Agents window in VS Code 1.129, showing how the updated layout supports agent-driven workflows and keeps code editing and AI-assisted interactions in one place.

Allison announces general availability of Copilot cloud agent for Linear, letting teams assign Linear issues to Copilot to produce draft pull requests, run work in an ephemeral environment backed by GitHub Actions, and report progress back into Linear with configurable models, branches, and custom agents.

arindamc explains how to build a real-time “row-to-intelligent-action” pipeline in Microsoft Fabric that captures shopping-cart signals via CDC, reshapes them into analytics-ready rows, and enriches each micro-batch with AI in a Spark Structured Streaming notebook to drive timely actions.