# I built a multi-agent AI workflow with Claude Code + Java/Spring Boot (real-world experiment)

> Source: <https://dev.to/rheorix/i-built-a-multi-agent-ai-workflow-with-claude-code-javaspring-boot-real-world-experiment-5hl6>
> Published: 2026-05-20 20:50:41+00:00

I’ve been experimenting with Claude Code to go beyond “AI as a copilot” and instead simulate a small team of AI agents working on software development tasks.
The idea was simple:
Instead of asking Claude to help with isolated snippets, I structured it into a workflow where different “agents” handle:
All orchestrated through a Java / Spring Boot backend.
What I found interesting is that the real challenge wasn’t generating code — it was coordination, governance, and control over the system behavior.
In practice, the hard problems became:
I documented the full setup, architecture, and lessons learned here:
https://www.rheorix.com/en/2026/05/19/how-i-built-a-team-of-ai-agents-with-claude-code/
→ Full code and repository on GitHub: https://github.com/rheorix/agentic-company
Curious if anyone else is experimenting with similar multi-agent setups — especially in production or near-production environments.
What patterns are you using for orchestration and governance?