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.
Ready to build Power Platform solutions with AI? This comprehensive tutorial covers the complete Dataverse Skills installation process for both GitHub Copilot and Claude Code. Learn how to configure PAC CLI authentication, enable the Dataverse MCP server in Managed Environments, and build your first agent-driven solution from a single natural language prompt. Includes enterprise-tested authentication patterns, troubleshooting common errors, and a real-world project tracking system built entirely by AI. Perfect for Power Platform developers transitioning to intent-driven development workflows.
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
Traditional GitHub Actions workflows are powerful but deterministic — they can only do what you explicitly tell them. GitHub Agentic Workflows change that. Launched in February 2026, they bring AI coding agents (Copilot CLI, Claude Code, Codex) into GitHub Actions with natural language specifications, security guardrails, and human review. Instead of writing imperative YAML, you describe outcomes in plain language and let AI agents figure out the implementation. This guide explores the six core automation categories and practical applications for Power Platform developers managing PCF controls, Dataverse solutions, and ALM pipelines.
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.