Power Fx vs Python: Low Code vs Pro Code for Dataverse MCP + AI Agents vs Power Automate
Should you use Power Fx or Python to extend Dataverse MCP? And when is it better to use Copilot Studio agents instead of traditional Power Automate workflows? In this video, Nathan Rose explores key community questions about low code vs pro code development in the Power Platform—diving deep into how Power Fx functions can make Dataverse MCP (Model Context Protocol) endlessly extensible, and why Python might offer more power... but at what cost? He also breaks down the critical difference between deterministic workflows (Power Automate, Logic Apps) and autonomous AI agents (Copilot Studio), and how to choose the right tool for the job in real-world enterprise scenarios. ⏬ Timestamps / Chapters: 0:00 – Intro & Community Shoutout 1:10 – Power Fx vs Python for Dataverse MCP 3:45 – Pro Code vs Low Code: The Real Tradeoff 6:05 – Are AI Agents Unreliable? 8:00 – Deterministic vs Autonomous Automation 10:50 – When to Use Power Automate vs AI Agents 12:30 – The Automation Paradigm Explained 14:10 – Final Thoughts & Open Question to You 💬 Join the conversation: Does the Dataverse MCP reinforce the paradigm of “use automation when you know what to do, and agents when you don’t”? Or is it time to rethink it?
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