Stop crossing your fingers and hoping AI-generated code works. In this session, we'll move beyond "vibe coding" and into the world of agentic engineering, where AI doesn't just write code that works - it writes code you'd be proud to ship to production.

Since August 2025, I've been successfully deploying AI-written code to real customer environments. The secret? An open-source framework that transforms AI from a coding assistant into a professional developer who writes safe, maintainable, and thoroughly tested Dataverse and Azure code.

What You'll Learn:
* Live demonstration of AI writing production-quality Dataverse plugins, custom APIs, and business logic that looks exactly like senior developer code.
* Deep dive into the framework architecture that enforces coding standards, security patterns, and comprehensive test coverage.
* How agentic engineering differs from typical AI coding: focusing on long-term maintainability, not just immediate functionality.
* Practical strategies to implement this approach in your organization—either by adopting my open-source framework or building your own.

Why This Matters:
While everyone's talking about AI and Copilot, we're actually shipping AI-written code to production. This isn't about prompting tricks or hoping for the best - it's about systematic engineering practices that make AI a reliable member of your development team. The agent even writes more unit tests than most developers (myself included) because it never gets lazy.

Key Takeaways:
* Understanding the shift from ad-hoc AI assistance to systematic agentic engineering.
* Concrete patterns for ensuring AI-generated code meets enterprise standards.
* Access to the open-source framework and implementation guidance.
* Real-world examples from months of production deployments.

Join me to discover how professional Dataverse development with AI isn't just possible - it's already happening, and you can start implementing it tomorrow.