Browse All Artificial Intelligence Content (629)

Visual Studio Code Team outlines the significant updates in VS Code 1.112 Insiders, focusing on Copilot CLI improvements, chat-based image analysis, and enhanced developer features.

Microsoft Developer demonstrates an end-to-end workflow for building an agentic AI solution with the VS Code AI Toolkit and Microsoft (Azure AI) Foundry—from model selection and prototyping to hosting, deployment, evaluation, red teaming, and monitoring.

Darren Portillo outlines Microsoft Purview updates for Microsoft Fabric focused on preventing data oversharing and improving governance and data quality, with new DLP, Insider Risk Management, DSPM, and Unified Catalog capabilities aimed at supporting safer AI adoption.

GitHub explains how the .github folder can standardize repository workflows—covering CI/CD automation, issue templates, and even rules that influence how GitHub Copilot behaves across projects in an organization.

Matt Soucoup announces a major update to the Awesome GitHub Copilot Customizations project: a new website, a Learning Hub, and a plugin system to make Copilot agents, skills, instructions, and automation easier to find, install, and contribute to.

Welcome to this week’s roundup. The common thread is agents moving beyond “helpful chat” into real execution across IDEs, terminals, CI, and cloud operations. Copilot’s latest changes focus on autonomy and repeatable behavior through repo-visible instruction files, lifecycle hooks, clearer model routing, and faster PR review workflows, while modernization tooling ties assessments and plans directly to issues and pull requests. In parallel, the rest of the stack is catching up to the day-to-day requirements of running agents like software: traces and debugging loops, structured outputs and schema enforcement, and clearer guardrails around approvals, secrets, and identity-based access.

Visual Studio Code shares a walkthrough with Justin and James on VS Code’s evolving chat UX and Autopilot (Insiders preview), covering how agent-style workflows can auto-approve tools, iterate toward a task_complete signal, and how the new permissions picker and input bar changes affect safe, hands-off usage.

carlottacaste walks through an end-to-end workflow for taking an agent from prototype to production using the AI Toolkit in VS Code and Microsoft Foundry, covering model selection, agent setup, migration to hosted code, deployment, and ongoing evaluation/monitoring.

GitHub shows how to use GitHub Copilot to help write code for a robot dog project, generating a custom servo “greeting” sequence that triggers when a Raspberry Pi 5 camera detects a human face.

Satya Nadella shares a milestone for Microsoft, leading the cloud market by validating the NVIDIA Vera Rubin NVL72 system—a foundational building block for future AI infrastructure.

Diego Casati and Ray Kao explore the challenges of scaling platform engineering processes, focusing on specialization, tool complexity, and the growing role of AI-powered collaboration in the Azure ecosystem.

PuiChee (PC) Chan explains how to use new Azure Developer CLI (azd) commands to diagnose and debug hosted AI agent failures, providing developers with direct access to container status and live logs from the terminal.

Allison announces a new option in GitHub that lets repository administrators skip manual approval for GitHub Actions workflows triggered by Copilot coding agent, balancing workflow speed and security.

stclarke outlines Microsoft's new systematic debugging approach for AI agents, introducing the AgentRx framework to improve AI agent failure analysis and reliability.

NagaSurendran details practical strategies for organizations migrating from Heroku, focusing on how Azure and its integrated tools—including GitHub Copilot and Microsoft Foundry—enable modern, secure, and intelligent cloud-native applications.

Allison announces a significant update for students as GitHub introduces the Copilot Student plan, offering a dedicated and AI-enhanced coding assistant tailored for educational use.

Microsoft Developer introduces computer use agents, outlining what they are, how they function, their types, and related security risks. This video provides foundational knowledge for those interested in AI agents and security.

Sergey Menshykh details the latest updates to Microsoft Agent Framework for Python, introducing code-defined Agent Skills, flexible script execution, and approval flows for enterprise safety and control.

Pierce Boggan details how the VS Code team integrates AI and GitHub Copilot to streamline their development pipeline, covering automated code review, release cadence acceleration, and quality management strategies.

Randy Pagels shares practical tips for developers to maximize GitHub Copilot's effectiveness by providing better context and intent, rather than relying on longer prompts.