An engineering publication about building with AI.
AgentWorks HQ is a publication of architecture notes, systems blueprints, and structured multi-part series focusing on autonomous agents, Model Context Protocol (MCP), multi-model orchestration, runtime governance, and Java agent implementations.
We write for software engineers and systems architects learning modern AI foundations and building production-grade autonomous systems.
Our learning series for Java developers, Java Developer to AI Engineer, has 3 of 10 parts published.
Our hands-on series for working with Claude Code, Claude Code for Java Developers, has 1 of 14 parts published.
How we work
- Written by a backend engineer who builds these systems.
- We show the work: code, diagrams and the trade-offs behind the choices.
- We cite primary sources and link them.
- We correct mistakes in the open, with a dated note on the article.
We use AI tools for drafting and editing. Every article is reviewed and tested by its author.
Who sponsors AgentWorks HQ
AgentWorks HQ is sponsored by DVARA, which builds runtime AI governance for LLM, MCP and agent calls. Its founder, Ayush Shrivastava, also works part-time at DVARA as a Senior Software Engineer. Articles that discuss DVARA carry a disclosure note.
Questions, corrections or topic ideas? Contact us or browse the series.