As AI tools increasingly assist in software development – from code generation to architecture decisions – the value of stable, well-documented, and consistent APIs has never been greater. In this talk, we’ll explore how Jakarta EE and MicroProfile provide the perfect foundation for AI-assisted and even autonomous application development. Drawing on practical experiments developing applications with the help of AI, I’ll demonstrate how modern AI-enhanced development tools can understand and generate Jakarta EE applications more effectively than ad-hoc or framework-specific codebases. Producing up-to-date code that works together much better than if assembled from various libraries or frameworks. We’ll also discuss the role of open standards in making application behavior predictable for AI, improving maintainability, testability, and avoiding vendor lock-in. You’ll leave with a clear picture of how enterprise Java can thrive in an AI-assisted future – and how your team can start leveraging AI tools today to boost productivity while staying grounded in proven architectures.
More info will be added soon (code examples, example prompts, ...)