Browse All Artificial Intelligence Content (859)

John Edward covers the general availability of automation flow evaluations in Microsoft Copilot Studio. The capability extends structured quality assessment beyond agents to automation flows, helping makers assess expected outcomes and identify issues before production. The article also outlines repeatable evaluation practices and explains why no immediate administrative action is required.

Microsoft Developer demonstrates Intelligent Terminal running a 120-billion-parameter model locally on Surface hardware with NVIDIA RTX Spark N1X and 128 GB of unified memory. The demonstration covers completing workflows such as writing new agent skills with context, without sending requests to the cloud.

Kristen Womack reviews October’s Azure Developer CLI releases, covering deployment previews, Container Apps express support, environment value removal, and extension-aware pipelines. The recap also explains stable extension APIs, breaking Go API changes, reliability fixes, and new templates for deploying semantic search and streaming AI applications to Azure.

John Savill reviews this week's Azure updates, covering Container Apps logging, confidential VMs, network security, storage quotas, and cross-tenant backup restore. The Halloween edition also covers Azure AI Foundry model cost management, Azure MCP Server 3.0, new model topics, and GitHub Universe.

Michael MacKenzie, Microsoft’s VP of Product Management for Azure IoT and Digital Operations, explains how physical AI differs from traditional automation: automation repeats a task, while physical AI gets smarter each time it runs. This short introduces the distinction as part of a broader conversation on IoT and physical AI.

Microsoft Developer explores model selection using the Microsoft Foundry model catalog. By swapping only the model deployment and running the same evaluation on both options, the episode compares results alongside measured cost and latency to show when a smaller model is suitable for production and when it is not.

Visual Studio Code demonstrates how to use IntelliSense and GitHub Copilot to write, explain, and improve PostgreSQL queries without switching tools. The workflow also covers running queries and validating their results directly in the editor.

Waldek Mastykarz examines whether naming a workspace folder ‘eval’ changes GitHub Copilot CLI behavior. Across about 900 runs with four models, the name increased agents’ suspicion that they were being tested without producing statistically significant behavioral differences. The analysis explains the experiment’s controls, limitations, and practical guidance for evaluation harnesses.

John Edward covers the general availability of Microsoft Copilot Studio's tool accuracy grader, which evaluates whether AI agents select the correct tools and supply expected inputs. The feature adds execution-level checks to agent testing, while leaving response quality, downstream outcomes, and connected-system reliability as separate evaluation concerns.

Maggie Appleton, Martin Woodward, and Jocelyn Velarde close GitHub Universe 2026 with open-source perspectives and coding demos. The session explores learning with GitHub Copilot, scaling projects with AI agents, and collaborative AI planning, alongside creative experiments that highlight the craft of coding and building together.

Martin Woodward demonstrates how to install Super Mona on a GitHub Universe 2026 conference badge using GitHub Copilot. The demo shows copying repository instructions into Copilot Chat and letting the agent configure the app, then using the badge’s hidden capacitive buttons to play.

amitch and Shehab Amin explain how Sail connects Spark-compatible workloads to Microsoft OneLake without copying data. They demonstrate lakehouse transformations, Python-based embedding generation, and scoped access through LakeSail Cloud Sessions, while outlining compatibility checks and limitations of the reported performance and cost comparisons.

Microsoft Developer shows how to build a prompt agent in Microsoft Foundry using a model, instructions, and MCP tools, without managing containers or servers. The video explains when custom orchestration or a different framework calls for a hosted agent, while keeping name-based invocation consistent for callers.

Patrick LeBlanc joins Anna Hoffman to demonstrate Database Agents in Microsoft Fabric, which detect SQL performance problems before they affect users. The episode covers Database Hub, configuration requirements, issue detection, and SQL Server Management Studio integration, alongside a longer-term vision for agents that learn from DBA interactions.

Microsoft Threat Intelligence examines how North Korean threat actors use AI to accelerate reconnaissance, identity deception, malware development, and operational scaling. The report distinguishes observed activity from suspected AI use, explains why operations remain human-directed, and provides Microsoft Defender detections and practical guidance for protecting identities, endpoints, and software repositories.

nareshvenkat introduces Project Osmos, a data engineering agent for Microsoft Fabric that investigates datasets, executes PySpark, and validates results. Persistent, shared tasks retain project context while teams define operating boundaries, review evidence, and guide changes. Tasks can be initiated through GitHub Copilot CLI, Claude Code, or Codex.

GitHub recaps the opening keynote at GitHub Universe 2026, covering a dedicated Copilot app, third-party connectors, and multi-model orchestration through Copilot Fusion. The video also highlights multi-repository agent workflows with Copilot Projects, cloud sandboxes, Code Review Max, code scanning, and architectural upgrades to Git.

Daniel Roth outlines Microsoft’s collaboration with Syncfusion on Blazor, including a free, MIT-licensed component toolkit and merged framework and scaffolding fixes. He also covers testing contributions for .NET 11 and proposed setup tooling and AI assistant skills, distinguishing available improvements from contributions still under review.

GitHub recaps the GitHub Universe 2026 opening keynote, highlighting the new GitHub Copilot app, multi-model orchestration through Copilot Fusion, and autonomous task management in Copilot Projects. The video also covers Code Review Max for catching critical bugs and GitHub’s work to rebuild the core infrastructure underneath Git.

Michael MacKenzie explains how IoT, industrial AI, and physical AI connect machine data to decisions and actions. He outlines the roles of Azure IoT Hub, Azure IoT Operations, and Azure Device Registry, including operational inference and the policy, access, and certificate controls that bridge IT and operational technology.

April Leonard, Jay Parikh, Cassidy Williams, Burke Holland, and Damian Brady present GitHub Universe 2026’s opening keynote. The session covers GitHub Copilot updates, autonomous agent workflows, agent-powered quality and security, and changes to GitHub’s core infrastructure, with live demonstrations of developer tools and capabilities.

LeeBenjamin introduces the generally available Govern experience in Microsoft Fabric’s OneLake catalog and the new Govern Skills collection. Together, they provide centralized estate insights, policy controls, and AI-assisted governance checks, with evidence-based recommendations and confirmation before sensitive changes through tools such as GitHub Copilot.

The Visual Studio Code Team outlines changes in VS Code 1.145 Insiders, including improved worktree cleanup, experimental previews of web apps on remote agent hosts, and new agent-session controls. The updates also address keyboard accessibility for MCP authentication prompts and add symbol breadcrumbs for unsaved files.

Satya Nadella outlines GitHub updates announced at Universe, including Copilot Fusion performance and cost claims, a unified Copilot harness in Foundry, and Copilot Projects for coordinating multiple agents across repositories. The post also notes plans to expand GitHub capacity and strengthen its architecture.

Jeff Hollan, Viswajeeet Balaji, and Anthony Chu introduce the Microsoft Copilot harness public preview in Foundry Agent Service and generally available resilience for hosted agents. They demonstrate reusable skills and declarative deployment, explain recovery responsibilities and preview limitations, and outline consumption-based runtime billing beginning December 1, 2026.

Visual Studio Code demonstrates Agent Bake Off by running six AI coding agents on the same Windows settings reorganization. The video compares results, tool use, context, and cost, then shows how judging and synthesis can combine the strongest ideas into a finished change, including when starting without an existing project.

Jay Parikh outlines GitHub’s Universe 2026 announcements, including multi-repository Copilot projects, model orchestration, deeper code review, and enterprise access billed through AI credits. He also describes GitHub’s infrastructure expansion, redesigned Git architecture, and ongoing migration to a multi-region Azure deployment.

GitHub Staff examines the 2026 Octoverse findings on repository activity, agent-started pull requests, and changing model choices. The report connects growing use of coding agents with shifts in review workflows, GitHub Actions usage, and language participation, while explaining the telemetry’s limitations and announcing general availability of GitHub Copilot Fusion.

Allison announces the general availability of GitHub Copilot Fusion, which selects and orchestrates models for coding tasks. Developers choose between three effort levels, while administrators control eligible models and defaults. The announcement also covers supported clients, per-model billing, and a temporary discount for paid Copilot plans.

WSilveira introduces the public preview of the Logic Apps Standard CLI extension, covering local workflow creation, connector discovery, validation, execution diagnostics, and packaging. An Outlook-to-Blob walkthrough explains managed-identity setup and preview limitations, while a GitHub Copilot skill provides procedures for agent-assisted development with explicit approval for cloud changes.

Allison introduces updates to the GitHub Copilot app, including Projects for coordinating work across repositories and connected tools, and computer use in public preview on macOS and Windows. The app can return pull requests for review, work with design context, and control desktop apps with user approval.

Allison outlines a new GitHub Enterprise licensing model that includes GitHub Copilot access for licensed users, with AI usage charged against an enterprise budget. The announcement explains which features remain available without budget, the $10 monthly standalone option, and initial availability for enterprises working with GitHub or Microsoft account teams.

Allison introduces the GitHub security extension, now in public preview for the GitHub Copilot app. Developers can browse code scanning alerts, ask Copilot to explain or fix them locally, and review changes before opening pull requests. The announcement also covers permissions, AI credit usage, and supported GitHub environments.

Allison introduces GitHub intelligence, a context layer combining persistent Copilot memories, opt-in dreaming, and cross-repository code search. Copilot Memory is generally available on paid plans, while dreaming enters public preview with controls for personal and repository context, pull-request review of instruction changes, and AI-credit costs.

Allison introduces shared Copilot Automations, which let teams maintain repository-owned AI workflows for bug reproduction, pull request screenshots, and incident investigation. The rollout adds shared visibility, editing permissions, repository-owner billing, and workflows that keep running when their creator leaves, with an administrator policy required for organization-owned repositories.

Allison outlines GitHub Copilot updates in VS Code, including cloud session continuity, persistent local and remote agents, and mobile controls. The releases also cover parallel model comparisons, experimental desktop interaction, custom clients through Agent Host Protocol, and preview marketplaces and connectors with enterprise policy controls.

Allison announces general availability of repository plugin defaults and enterprise-managed plugin controls for GitHub Copilot. Maintainers can configure default plugins, while enterprise administrators can require or block plugins and restrict marketplaces. The controls work across VS Code, Copilot CLI, and the GitHub Copilot app, with managed settings overriding personal choices.

Allison introduces image generation and editing in GitHub Copilot, powered by GPT Image 2.5 Flare. The public preview lets developers request images conversationally, preview them inline, and save them to their workspace. Image tokens are billed separately from chat, while administrators can disable the feature through model policies.

Allison announces an opt-in experimental preview of GitHub Copilot Fusion routing between supported local and cloud models. The update covers managed Windows setup and manually configured CLI models across Windows, macOS, and Linux, with important limits: routing still requires the cloud, and local models may offer different safety protections.

Allison announces general availability of GitHub Agentic Workflows, which compiles natural-language Markdown into GitHub Actions workflows powered by coding agents. The release adds runner support, model routing, and stronger isolation, with read-only defaults and validated outputs. The default GitHub Copilot CLI engine requires a Copilot license.