Browse Artificial Intelligence News (294)
Klaus Loeffelmann shares how prompt-driven AI development—including GitHub Copilot and Agent mode in Visual Studio—enabled him to rapidly build a mission-critical WinForms app to rescue his mother’s business trip after catastrophic hardware failure.
Mark Downie details the February 2026 Visual Studio update, highlighting GitHub Copilot-powered AI features, smarter test workflows, and productivity improvements for .NET and C++ development.
stclarke outlines Microsoft’s efforts in connecting more than 299 million people worldwide, focusing on digital access, partnerships, and community enablement to foster inclusive participation in the AI economy.
Sandeep Sen explains how Python developers can now install and run Azure MCP Server with PyPI and uvx, unlocking seamless Azure integration and support for agentic workflows and GitHub Copilot SDK.
Gwen Davis explains how to engineer robust multi-agent workflows in AI systems, detailing three core patterns—typed schemas, action schemas, and MCP—to make agentic automation with tools like GitHub Copilot reliable and maintainable.
stclarke details Microsoft's new Sovereign Cloud capabilities, highlighting how Azure Local, Foundry Local, and Microsoft 365 Local enable secure, governed, and AI-powered operations in fully disconnected, sovereign environments.
stclarke reports on Microsoft’s announcement of new Sovereign Cloud capabilities, enabling organizations to host productivity and AI workloads in fully disconnected, locally controlled environments.
Andrew Conway examines how security teams can leverage Microsoft Defender’s autonomous defenses and expert-led services to modernize SOCs, leveraging AI and expert input for improved cyber resilience.
This Microsoft Fabric Blog post examines the pressures that AI advancements put on enterprise data platforms. It highlights how Microsoft SQL and Fabric equip data professionals—according to the author—with new capabilities for real-time, secure, and AI-ready data services.
Allison explains the new public preview feature allowing GitHub organization owners to view Copilot usage metrics through a dedicated dashboard in the GitHub UI.
Dmytro Struk and Shawn Henry introduce the Microsoft Agent Framework Release Candidate for .NET and Python, explaining how developers can migrate from Semantic Kernel and AutoGen to this unified agent orchestration platform.
Shawn Henry details the Release Candidate of the Microsoft Agent Framework, sharing technical insights for developers orchestrating AI agents in both .NET and Python environments, with extensive code samples and migration guidance.
Allison details how GitHub Copilot is now fully supported in the Zed code editor, enabling developers with Copilot Pro or Enterprise subscriptions to use AI-powered coding features seamlessly within Zed.
Rhea Patel and Kelly Fam introduce new Visual Studio agent features, showing how developers can harness built-in and custom agents powered by GitHub Copilot for tailored coding workflows.
Allison presents an update on the Copilot coding agent's model picker feature, now available for Copilot Business and Enterprise users, enabling them to choose specific AI models for delegated coding tasks.
Allison provides a news update on the deprecation of selected Anthropic and OpenAI models in GitHub Copilot, detailing important steps for Copilot Enterprise users and administrators.
Kate Catlin reports on the rollout of the Gemini 3.1 Pro model in GitHub Copilot, highlighting its performance and administrative requirements for adoption by Copilot users and organizations.
Jasmine Greenaway and Pablo Lopes introduce Budget Bytes, a practical series for developers focused on building affordable, production-ready AI applications on Azure, with actionable guidance and real-world demos.
Andrea Griffiths delves into how AI is transforming developer technology choices, using real-world Octoverse 2025 data to highlight GitHub Copilot's influence and provide practical advice for developers and leaders.
Samantha Kubota presents Microsoft's new research on how AI impacts public trust in digital media, examining authentication methods and strategies for combating deepfakes and manipulated content.