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

An experiment using Claude Code to create a multi-agent AI workflow for software development, orchestrated through a Java/Spring Boot backend. The author found that the main challenges were not code generation but rather coordination, governance, and control over system behavior. The full setup, architecture, and lessons learned are documented online, with the code available on GitHub.

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?