Transform your Azure-Dataverse integration development from manual coding marathons into systematic, AI-driven engineering. This session demonstrates how to leverage agentic engineering to build professional Azure Functions and Web APIs that seamlessly integrate with Dataverse - all while maintaining enterprise-grade quality and local testability.

Since August 2025, I've been successfully deploying AI-written Azure integrations to production environments. Moving beyond simple AI code suggestions, I'll showcase my proven approach where AI agents write complete, production-ready Azure Functions and Web APIs. These aren't just snippets that compile - they're fully architected services with proper dependency injection, comprehensive error handling, and extensive test coverage that runs flawlessly on your local machine.

What You'll Learn:
* Live demonstration of AI building complete Azure Functions and Web APIs that integrate with Dataverse, including authentication, data operations, and business logic.
* Architecture patterns that enable true local testing without touching cloud resources.
* How to structure your prompts and frameworks to ensure AI generates properly layered code with separation of concerns.

Why This Matters:
The biggest pain point in Azure-Dataverse development isn't writing the code—it's ensuring it works before deployment. By combining agentic engineering with robust local testing strategies, we eliminate the "deploy and pray" cycle. If you're skeptical that AI can write production-quality integration code, this session will change your mind. The technology and techniques are here today - not in some distant future. With the right framework and approach, AI can generate Azure Functions and APIs that are indistinguishable from those written by senior developers, complete with comprehensive test suites that run entirely on your local machine.

Key Takeaways:
* Complete framework for local development and testing of Azure-Dataverse integrations, battle-tested in real customer environments.
* Patterns for AI-generated code that respects Azure best practices.
* Strategies for mocking Dataverse operations and Azure services in local environments.
* Access to open-source templates and frameworks refined through months of actual use.

Stop debugging in production. Join me to discover how agentic engineering makes Azure-Dataverse integration development faster, safer, and surprisingly enjoyable.