AI Development Workflow Platform

Overview

An intelligent, agent-powered development workflow system that automates software development tasks through a collaborative Kanban board interface.

Features

• AI-driven task planning
• Automated code generation
• Intelligent code review
• Human-in-the-loop validation
• Real-time workflow tracking

Prerequisites

• Node.js (v18+)
• Python (v3.9+)
• Docker
• MongoDB

Local Development Setup

1. Clone Repository

git clone https://github.com/decagondev/ai-dev-workflow.git
cd ai-dev-workflow

2. Environment Configuration

# Copy environment template
cp .env.example .env

# Edit .env with your specific configurations

3. Install Dependencies

# Frontend
cd frontend
npm install

# Backend
cd ../backend
npm install

# Agents
cd ../agents
pip install -r requirements.txt

4. Run Development Servers

# Start all services with Docker
docker-compose up --build

Core Workflow

1. Create Task
2. AI Planning Agent breaks down task
3. Code Generation Agent implements
4. Code Review Agent analyzes
5. Human validates/adjusts

API Endpoints

• POST /tasks/create: Initialize new task
• GET /tasks/{id}/status: Retrieve task status
• POST /tasks/{id}/approve: Approve task modifications

Security

• JWT Authentication
• Role-based access control
• Comprehensive logging

Contributing

1. Fork repository
2. Create feature branch
3. Commit changes
4. Push to branch
5. Create pull request

License

MIT License