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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