Browse All Artificial Intelligence Content (635)
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.
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.
DevClass.com highlights Microsoft's switch to weekly Visual Studio Code releases and the rollout of Autopilot in Copilot Chat, offering developers new AI-driven coding experiences while raising fresh security concerns.
Dmytro Struk, Chris Rickman, and Eduard van Valkenburg present hands-on techniques for building production-ready AI agents using the Microsoft Agent Framework, highlighting secure shell execution and conversational context management.
GitHub presents a beginner’s tutorial on using the interactive and non-interactive modes of the Copilot CLI, showing developers how to efficiently prompt Copilot from the terminal.
Mika Dumont explores how the modernize-dotnet agent empowers developers to modernize .NET projects from Visual Studio, VS Code, the Copilot CLI, or even directly on GitHub, generating structured upgrade plans and supporting custom workflows.
In this presentation, Microsoft Developer, featuring Bob Ward, explains how to set up and scale AI agents using Copilot Studio and Azure SQL Database for only $10 a month, with no coding required.
Carie Fisher explains how GitHub leverages GitHub Copilot, AI automation, and developer-centric workflows to turn accessibility feedback into actionable, continuously resolved issues. The piece details technical approaches, architecture, and human-in-the-loop best practices for delivering more inclusive code.
Allison presents the general availability of GitHub Copilot’s auto model selection in JetBrains IDEs, highlighting new flexibility and billing improvements for developers.