Browse Artificial Intelligence Blogs (33)
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.
John Edward explores the foundations of Microsoft Copilot agent design, outlining how goals, memory, tools, and autonomy create robust, autonomous AI systems for enterprise automation.
DevClass.com reports on how Microsoft Azure CTO Mark Russinovich used Anthropic’s Claude Opus 4.6 AI model to scan 1986 Apple II machine code, finding security vulnerabilities and raising important points about AI’s expanding role in legacy code security.
John Edward provides a comprehensive look at agentic AI in IT, showing how Microsoft Azure and related services create self-healing and intelligent operations through automation, monitoring, and AI-driven incident response.
DevClass.com highlights Microsoft execs Mark Russinovich and Scott Hanselman as they examine how AI coding assistants affect the role and growth of junior software developers, emphasizing new industry and educational needs.
Hidde de Smet explains practical frameworks and real-world techniques for effective prompt engineering and context engineering with LLMs and agent tools, including GitHub Copilot, helping AI practitioners move from vague queries to reliable, production-grade results.
In this workshop summary, DevClass.com reviews Martin Fowler’s event marking 25 years since the Agile Manifesto, highlighting the growing impact of AI on coding, the renewed importance of TDD, and security risks in software development.
John Edward analyzes if AI can fully replace the Solution Architect role, focusing on automation’s impact, the enduring necessity for human judgment, and specific challenges in complex enterprise environments.
Harald Binkle explores how to extend AI agents with Visuals MCP, letting tools like GitHub Copilot render interactive tables, lists, and images inside VS Code using React, TypeScript, and a flexible MCP server.
DevClass.com explores GitHub’s preview release of agentic workflows, detailing how AI agents automate repository tasks. The article, authored by DevClass.com, breaks down security, configuration, and use case scenarios for this new automation concept.
John Edward details how native Mermaid diagram support in Visual Studio 2026, enhanced by GitHub Copilot, empowers developers to visualize, generate, and maintain documentation seamlessly within their coding workflow.
Lauri Lehman details how Microsoft Fabric IQ empowers enterprises to create intelligent AI agents directly integrated with organizational data, highlighting architectural patterns and practical considerations for developers and AI professionals.
Jesse Houwing shares his journey improving GitHub Actions versioning with the release of 'actions-semver-checker' v2, leveraging Copilot Agent and automated testing to streamline and automate release management.
John Edward provides a practical, detailed guide on designing safe agentic workflows with Microsoft Copilot, focusing on security, privilege management, auditability, and best practices for Microsoft-centric AI agents.
Randy Pagels shares practical guidance for developers on building confidence in GitHub Copilot’s coding output by combining smart trust with targeted verification.
Harald Binkle provides a thorough comparison of GitHub Copilot’s extension mechanisms—Custom Agents, Skills, and MCP Tools—guiding developers on selecting the best option for AI-powered coding workflows.
In this piece, Tim Anderson interviews Anders Hejlsberg, Microsoft technical fellow, revealing insights on AI's use in compiler porting and the impact of machine learning on programming languages and developer tooling.
DevClass.com presents insights from their interview with Anders Hejlsberg, focusing on the intersection of AI, programming languages, and the evolution of TypeScript tooling.
Hidde de Smet explains how teams can move from individual AI-powered workflows to collaborative, spec-driven development. Explore practical team setups, CI/CD integrations, and advanced architecture strategies to grow your next Microsoft-focused project.