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This article continues Part 1 «Conceptual Foundations» and targets technical leads and architects who integrate LLM agents (primarily Claude Code) as a co-pilot or autonomous task executor in Java pro

Over the last few months, projects like Gas Town by Steve Yegge and OpenClaw by Peter Steinberger have made “AI agent orchestrators” feel suddenly mainstream. It is tempting to treat them as a new kind of intelligence, but under the hood they are sti...

📆 Two months into the Berkeley MOOC on Agentic AI — still going strong! 🔗 Join the MOOC For the past two months, I’ve been immersed in the Agentic AI MOOC, learning from leaders at OpenAI, DeepMind, Microsoft, and startups like Sierra. The course i...

For several years now, I have been working as the CTO of ASRP, a company that develops educational projects and explores new approaches in EdTech. One of our focus areas has been testing the capabilities of Google ADK in educational scenarios and bui...

In the evolving world of artificial intelligence, Large Language Models (LLMs) have emerged as one of the most transformative technologies. From powering intelligent chatbots to driving autonomous agents, LLMs are revolutionizing how we build, scale,...

The rise of Large Language Models (LLMs) has been one of the most transformative shifts in AI in recent years. These powerful models, capable of understanding and generating human-like text, are now being integrated into everything from chatbots and ...

The rise of generative AI and large language models (LLMs) has marked a turning point in how businesses manage knowledge, automate tasks, and interact with data. But as enterprises seek to integrate AI into sensitive and complex environments, generic...
