Teaching Old Code New Tricks: Transforming Legacy Backends into AI Tools with Spring AI
Everyone is talking about AI Agents, but the reality for most enterprise developers is quite different: massive databases, monolithic APIs, and deeply layered business logic that cannot simply be rewritten from scratch. Yet, the true potential of Large Language Models isn't just in generating text—it's in executing actions. How can we allow an AI Agent to interact securely, deterministically, and efficiently with our legacy systems? In this talk, we will explore how to use the Spring AI ecosystem to build a robust bridge between generative models and existing infrastructure. We'll dive into the architectural patterns and design choices needed to transform legacy code into standardized "Tools" ready to be consumed by LLMs via Function Calling.
