effect

Programming & AI

LangChain4J — or Nay?

Denisa Todoran - Java Software Developer @ msg systems Romania

Studio room

12th November, 16:15-16:45

The short history of integrating AI into software has evolved exponentially, and each day seems to bring a new solution for an even new problem. This presentation does not aim to bring forward a “perfect” solution. Instead, we’ll examine one of the tools that bridge Java and AI, exploring what it offers—and where it falls short. Can it really carry the full weight of AI use cases, or should we look more deeply at its strengths, limitations, and context? What criteria should guide us when choosing the best AI fit for our Java projects?

Denisa Todoran

msg systems Romania

Denisa is a Senior Java Developer at .msg. Over the past 6+ she has worked across fintech and cybersecurity, from multithreaded data processing to cloud-native microservices and Spring based apps, with a strong emphasis on clean code, TDD/BDD, and sustainable delivery. Her current interests include secure-by-design practices and applying Zero Trust principles in Java services—paired with pragmatic software architecture that keeps teams productive. Beyond delivery work, Denisa mentors developers, volunteers with Code for Romania and writes technical pieces on architecture, security and the integration of current services and apps with AI.