AI Disruption

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AI Disruption
AI Disruption
Claude Code Multi-Agent: Complete RD Workflow Guide

Claude Code Multi-Agent: Complete RD Workflow Guide

Build an e-commerce order system with Claude Code's multi-agent workflow: automated development from requirements to deployment with full source code.

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Meng Li
Aug 20, 2025
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AI Disruption
AI Disruption
Claude Code Multi-Agent: Complete RD Workflow Guide
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The Claude Code Workflow You Can Copy | by Chris Dunlop | Realworld AI Use  Cases | Aug, 2025 | Medium

This section uses Claude Code's multi-agent system to build an e-commerce order system architecture from scratch.

Claude Code's multi-agent collaboration enables direct professional specialization among multiple experts, with agents isolated from each other, thereby launching a complete development workflow with one click, including a fully automated workflow: Requirements Input - Requirements Analysis - Code Implementation - Quality Review - Testing Validation - Deployment Release complete process.

The workflow is basically a summary of my experience using Claude Code over the past few months. Based on this, I have also developed about three projects.

The characteristic of this workflow is that it maximizes the functionality of Claude Code. By dividing into different expert roles, AI becomes more focused and reduces hallucinations. The framework-based approach also reduces errors and biases that direct coding is prone to, while having a completely autonomous process that requires no human intervention.

The article provides source code packages, including complete code, documentation, and a detailed graphical development process. Mastering these architectural concepts can also quickly extend and migrate to other project tasks.

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