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AI & ML
51 posts
Capability Mesh : Re-architecting for the Agentic AI Future
Re-architecting for the Agentic AI Future Ten years ago, software development teams adopted a new trend: companies were…
Building the core for the autonomous car
This is the second article of three. In the first article, “Connecting Java Reinforcement Learning to Python Gymnasium“,…
Enterprise Playbook for Generative AI Adoption
Era of Generative AI and Agentic systems The use of Generative AI (GenAI) started with the basic traditional…
Connecting Java Reinforcement Learning to Python Gymnasium
This three-part series builds a Java Reinforcement Learning Python Gymnasium pipeline from scratch. Part 1, this article, explains…
Solving Spring AI’s UI Challenge with AG-UI’s Java SDK
Introduction: The Missing Link in Java AI Development Ask any Java developer who has tried to build an…
LangChain4j Agentic Workflows: From AI Calls to Multi-Agent Systems in Java
You have built AI features into your Java application. Your model is wrapped in a service, RAG is…
The 5 Knights of the MCP Apocalypse
Let’s talk about that new MCP (Model Context Protocol) Server your team is using to connect to your real data…
From Prototype to Production: Building Safe and Reliable AI Agents with Spring AI and MCP
The AI agent demo works perfectly in the development environment. Your prototype handles natural language queries, executes tool…
Enterprise-grade AI for Java Developers: Behind the Bar of the AI Revolution
There is a moment many Java developers experience today. After years spent building reliable systems, modernizing monoliths, shaping…
Automating JVM Thread Dump Analysis with AI: Practical Observability for Java on Amazon ECS and EKS
Imagine the following scenario: a Java service that ran flawlessly yesterday suddenly starts consuming 90% CPU, barely responding…
