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agents.md best practices for GitHub Copilot specialist agents
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Stop Writing Vague AI Prompts: The Developer’s Playbook for Mastering agents.md in 2026

February 28, 2026February 28, 2026AI & Copilot, GitHub Copilotby

Your AI agent just modified the wrong file. Again. Before you blame the model — when did you last check what instructions you actually gave it?
Most developers hand a powerful coding agent a vague persona and wonder why results are inconsistent. GitHub's analysis of 2,500+ repositories reveals the uncomfortable truth: the gap between agents that work and agents that guess comes down to one file you're probably not writing correctly.
In this guide: the six pillars of a high-performing agents.md, a production-ready Dataverse plugin agent template, and the maintenance habit that keeps your AI sharp as your codebase grows. Your agent is only as good as the manual you write for it.

GitHub Copilot Agentic Memory vs Stateless AI
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GitHub Copilot Agentic Memory: What It Is, How It Works?

February 24, 2026February 24, 2026AI & Copilotby

GitHub Copilot just launched a persistent, repository-scoped agentic memory system in public preview. Instead of starting from scratch every session, Copilot now learns your codebase conventions over time and shares that knowledge across the coding agent, code review, and CLI. In this article, we explore how it works under the hood — and walk through three concrete Power Platform scenarios (PCF control development, Power Automate solution management, and Dataverse architecture patterns) where this changes the daily developer experience significantly.

Power Apps MCP Server agent feed — AI agent extracting Dataverse records with human approval interface — AIDevMe 2026
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Power Apps MCP Server: Complete Guide to Every Feature (Public Preview 2026)

February 21, 2026February 21, 2026AI & Copilot, Model Context Protocolby

The Power Apps MCP (Model Context Protocol) Server is now in public preview. It exposes three tools — invoke_data_entry, request_assistance, and log_for_review — that let AI agents automate tasks inside model-driven apps with built-in human supervision via a redesigned agent feed. This guide covers every feature, technical detail, current limitation, and step-by-step setup path.

Microsoft Copilot Studio vs Azure AI Foundry: The Complete Guide to Choosing Your AI Platform in 2026
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Microsoft Copilot Studio vs Azure AI Foundry: The Complete Guide to Choosing Your AI Platform in 2026

January 27, 2026January 27, 2026AI, AI & Copilot, Copilot Studio, GitHub Copilot, Microsoft Foundry, Power Platformby

Confused about Microsoft Copilot Studio vs Azure AI Foundry? I was too. After building projects on both platforms, I'm sharing exactly when to use each one—and why using both together is actually the smartest strategy. No corporate jargon, just real advice from someone who's been there.

Illustration showing Microsoft Copilot Studio and Visual Studio Code, with a Copilot assistant, workflow blocks, and development tools representing building copilots in VS Code.
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Announcing: Mastering Microsoft Copilot Studio in VS Code

January 18, 2026January 18, 2026AI & Copilotby

Ready to transform your Copilot Studio development from web-based clicks to professional code-based workflows? This comprehensive 8-part series guides you through mastering the VS Code extension, covering version control, CI/CD pipelines, team collaboration, and enterprise deployment patterns. Learn from real-world case studies, avoid common pitfalls, and discover when to use VS Code versus the web UI. Perfect for developers at all levels—from those just discovering the extension to architects building complex multi-agent systems.