AI for Java Architects – Part 2
Tokens, Embeddings and Vector Databases for Java Developers "Databases store data. Vector databases store meaning." Introduction In the previous article, we learned: What an LLM is. How transformers work. Tokens…
Category: AI
AI for Java Architects – Part 1
Understanding Large Language Models (LLMs) for Java Developers "Before building AI applications, we must first understand what exactly is happening inside these magical systems." Welcome to the Journey In the…
From Enterprise Architect to AI Engineer: My Journey into RAG, Generative AI, LangChain and Agentic AI
A learning diary, a teaching guide, and a practical roadmap for Java developers entering the AI era. Introduction For nearly two decades, I have worked with enterprise software systems. I…
The Future of Engineering Leadership
From Managing People to Enabling Teams in the Age of AI Introduction Engineering leadership is undergoing one of the biggest transformations in the history of the IT industry. A decade…
Surviving and Thriving in the AI Era: Reducing Workplace Politics and Building Collaborative IT Teams
Introduction The IT industry has always evolved rapidly. We moved from client-server systems to web applications, from monoliths to microservices, from data centers to cloud computing, and now into the…