The AI landscape has grown a ton in the last year with many technologies and approaches that application developers must master to include AI in their end-user and enterprise apps. However, more focus must be put into enabling standard software development workflows: testing, ensuring RAG correctness and efficiency, local development environment and CI setups, and security of AI artifacts, monitoring of the quality and so on.

In this session, we look at how application developers can integration test their GenAI apps with local models, augmented with RAG both locally and in CI. You'll learn how the setups for GenAI apps in the inner development loop can be programmatically managed and how these new tools can get into typical software development workflows without impairing developer productivity.

Whether you're an enthusiast yourself, or your boss tells you to "add AI" to the software you're working on, this session will give you understanding of the scale of the problem of building with AI and suggestions how to do so without going crazy.