I built a multi-agent AI workflow with Claude Code + Java/Spring Boot (real-world experiment)
The article discusses the author's experience in creating a multi-agent AI workflow using Claude Code and Java/Spring Boot. The focus was on simulating a team of AI agents to handle various software development tasks. Key challenges included coordination, governance, and maintaining consistency across outputs.
- ▪The author experimented with Claude Code to simulate a small team of AI agents for software development tasks.
- ▪The workflow involved different agents handling code generation, review, architecture decisions, and cost constraints.
- ▪The main challenges faced were coordination among agents, maintaining output consistency, and controlling iteration loops.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942947) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } rheorix Posted on May 20 I built a multi-agent AI workflow with Claude Code + Java/Spring Boot (real-world experiment) #ai #agentskills #claude #java 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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).