AI Agents
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Software Development
Building Self-Evaluating AI Systems
AI systems are increasingly being designed to do more than generate responses to user requests. Applications can retrieve information from…
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Software Development
Agentic AI Engineering in Practice
Agentic AI is changing how software applications handle complex tasks. Traditional applications follow predefined instructions, execute business logic, and return…
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Software Development
What is an Agent Harness? Understanding the Architecture Behind AI Agents
Agentic AI systems are moving beyond simple question-and-answer applications. AI agents can reason about tasks, use external tools, inspect files,…
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Software Development
Design Patterns for AI Agents
AI agents extend language models from simply generating responses to carrying out goal-oriented workflows. By combining reasoning, tool use, feedback,…
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Software Development
Memory in AI agents
Memory is one of the key capabilities that transforms an AI agent from a system that simply responds to individual…
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Enterprise Java
How to Switch Between AI Models Automatically
AI applications do not always need the same language model for every request. A simple factual question may only require…
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Enterprise Java
Build a Web Research AI Agent with Lanchain4j and Ollama
Running large language models locally using tools like Ollama fundamentally changes how we build AI applications. It enables fast experimentation,…
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Enterprise Java
From LLMs to LangChain: Building practical AI Applications
Software development is entering a new phase driven by Large Language Models (LLMs). These models allow developers to move beyond…
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Software Development
Designing Reliable AI Agent Systems
Over the past few years, artificial intelligence has evolved from a largely experimental research field into a fundamental part of…
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