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.
AI & Copilot
Power Apps MCP Server: Complete Guide to Every Feature (Public Preview 2026)
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
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.
Announcing: Mastering Microsoft Copilot Studio in VS Code
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.