Tokenmaxxing: When Burning AI Tokens Became a Performance Metric
There's a term making the rounds that you should know: tokenmaxxing. It describes engineers competing to burn AI tokens under employer-imposed usage metrics. The concept…
Quarkus LangChain4j 1.9.x: first-class MCP, Skills, and Neo4j for enterprise agents on Java
Three things landed in the enterprise plumbing in the past few weeks. At Knowledge 2026 (May 5), ServiceNow announced Action Fabric, an open MCP (Model…
GraalVM Native Image or Project Leyden: The Architectural Call
A few years back, the question "compile to native or stay on the JVM?" had a short answer: it depended on whether you needed sub-100ms…
Java developers should pay attention to JetBrains Air
A lot of AI coding demos look impressive for about five minutes. Then reality shows up. Reality is the old service nobody wants to touch…
Context Engineering: the role beyond Prompt Engineering
LLM is CPU. Context window is RAM. Andrej Karpathy captured something real with that analogy: the model processes, but the context is where information lives.…
How to put coding agents under control in Java teams
A few years ago, if you told a Java team that an AI tool could open a pull request, a lot of people would treat…
LangChain4j Gives Java Teams a Practical AI Stack
A few days ago, I was reviewing what has actually changed in the Java plus AI ecosystem lately. Not the hype, but the pieces that…
LangChain4j + Quarkus: Building AI-Powered Java Services
Most Java teams do not need to switch to Python to integrate AI into their applications. If your stack already includes Spring Boot, Quarkus, or…
Why Java Dominates Enterprise AI
Artificial intelligence is now a production concern, not a lab experiment. Enterprise teams are no longer asking whether they should use AI. They are asking…
How Project Panama Makes Native Code Safer and Simpler to Use in Java (for AI too)
Enterprise Java still forms a substantial portion of the software backbone behind global finance, logistics, and commerce. It is a mature ecosystem built around mission…
Java Engineering in the AI Era with Project Babylon and HAT
The landscape of enterprise software development is undergoing a structural shift, as artificial intelligence and high performance computing move to the center of strategic decision…
Building Your First AI Service with Quarkus, LangChain4j, and Ollama
* * The real value of AI in the enterprise lies in what an application can do. Integrating Large Language Models (LLMs) into Java applications…