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

rheorix — Wed, 20 May 2026 20:50:41 +0000

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:

code generation
review & validation
architecture decisions
cost/governance constraints

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:

preventing agents from diverging in logic
maintaining consistency across outputs
controlling cost and iteration loops
introducing human decision points at the right time

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?

DEV Community: rheorix

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