All of my long-form thoughts on programming, content creation, and more, collected in chronological order.
Filtering by tag: Spring AI
Learn how Spring AI 1.1.0-M2 makes building MCP servers in Java incredibly simple with just annotations. No callbacks, no complex setup. Includes complete code from my Commit Your Code 2025 conference demo, showing how to expose your Java application's data to Claude and other AI assistants.
Master Docker Desktop's revolutionary Model Runner feature and discover how to build privacy-first AI applications with Spring Boot. This complete tutorial shows you how to run powerful open-source AI models like Gemma locally on your machine, eliminating API costs, protecting sensitive data, and simplifying development workflows. You'll get step-by-step instructions...
Learn how Model Context Protocol (MCP) enables LLMs to access external data sources and tools, with practical implementation guides for getting started today.
Learn how to track and manage token usage in Spring AI applications, including implementing custom response types and automated logging with AOP.
Learn how to integrate and call multiple Large Language Models (LLMs) like OpenAI's GPT-4 and Anthropic's Claude in a single Spring Boot application using Spring AI. This tutorial covers project setup, configuration, and implementation of separate controllers for each LLM.