What if you could build canvas apps in 8 minutes instead of 45? What if version control, real IDEs, and CI/CD finally worked with Power Apps? I'm launching a 5-part series that shows you exactly how to do it—with AI-powered development tools that are changing everything.
Microsoft's Dataverse Skills represents a paradigm shift in Power Platform development—from manual tool orchestration to intent-driven AI coding. This open-source plugin for GitHub Copilot and Claude Code eliminates the developer tax of context-switching between PAC CLI, maker portal, and API documentation. Instead of writing scripts, developers describe their intent in natural language, and AI agents build complete Dataverse solutions automatically. Learn how this changes enterprise development workflows, why it matters for solution architects, and what skills-based development means for the future of low-code platforms.
Microsoft's Dataverse Skills transforms Power Platform development from manual tool orchestration to AI-driven intent. This comprehensive guide covers the complete journey: understanding the paradigm shift from scripts to natural language, installing and configuring for GitHub Copilot and Claude Code, mastering custom skill development with YAML frontmatter, and implementing enterprise governance with MCP billing controls and ALM integration. Whether you're a developer learning intent-driven workflows or an architect evaluating production readiness, this series provides the technical depth and real-world insights you need
GitHub Copilot is only as smart as the context it can see. This guide explains exactly how workspace context and codebase indexing work in VS Code — remote vs local vs basic indexes, when to use #codebase vs @workspace, how to write copilot-instructions.md for your team, and six prompt patterns that consistently produce better answers. Practical, code-first, no fluff.
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 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.