Let's face it: coding with GitHub Copilot is addictive. With Vibe Apps, Code Apps, Generative Pages and GitHub Copilot, AI starts spitting out code and suddenly it works. The technical barrier has collapsed, and building advanced components is now within everyone's reach. The problem is that prototypes in production are a ticking time bomb if nobody knows what's under the hood. And shipping is only the beginning, because someone will have to extend, fix and maintain that code six months from now. How do we scale this to the enterprise without dying in the attempt?

This purely practical session covers the full lifecycle of Vibe Apps, Code Apps and Generative Pages, using generative AI from end to end. Combining strategic insight, live demos and a hands-on block, we'll walk through the critical phases:

Inception & Planning: Using AI and advanced prompting to fill in DevOps work items, define scope and organize the project backlog.

Implementation: Building Code Apps quickly with GitHub Copilot and MCP servers that ground the AI in your Power Platform and Dataverse context. You'll learn to understand what the AI generates and avoid instant technical debt.

Deployment & ALM: Strategies and automation to package and deploy your apps, making sure AI-generated code is maintainable, secure and governable before it reaches production.

Extension & Maintenance: Using Copilot and MCP to understand, evolve and fix apps that you (or the AI) built months ago, without breaking what already works.