Multi-Agent Web Development

AI-powered development workflow using multi-agent orchestration for automated code generation and documentation.

Author: Andrey Quesada | Software Engineer | Full-Stack Development & AI Workflows

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Stack

Core: Python, CrewAI
AI: LLM Integration, Prompt Engineering
Output: Automated code, documentation, analysis

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Overview

This project demonstrates practical AI-assisted engineering:

• Multi-agent coordination for development tasks
• Structured prompts for consistent outputs
• Quality control and human-in-the-loop validation
• 6 specialized agents (PM, BA, Backend Dev, Frontend Dev, QA, DevOps)

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Architecture

Project Manager Agent
    ├── Business Analyst Agent
    ├── Backend Developer Agent
    ├── Frontend Developer Agent
    ├── QA Engineer Agent
    └── DevOps Engineer Agent

Each agent has:

• Specialized role and expertise
• Defined tools and capabilities
• Context from previous agents
• Output validation

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Use Cases

• Automated code scaffolding
• Documentation generation
• Code review assistance
• Technical analysis workflows
• Workflow automation

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What This Demonstrates

• Agent orchestration with CrewAI
• Strategic AI application in software development
• Prompt engineering for consistent outputs
• LLM integration and model selection
• Production-ready AI workflows (not toy examples)

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Status: Core orchestration functional, ongoing enhancements

GitHub: andreyques41/multi-agent-web-dev