Ai Hacker League Live Coding: AI Agent Development Tutorial using Crew Ai and Aider.

AI Hacker League is a vibrant community of developers, researchers, and enthusiasts who come together to explore and push the boundaries of AI technology. Our weekly live coding sessions are more than just tutorials - they're collaborative experiments in cutting-edge AI development.

What is AI Hacker League?

• Live Coding Sessions: Every Thursday at 12pm ET, we dive into hands-on AI development, building real systems in real-time.
• Community Learning: Join fellow AI enthusiasts in exploring new technologies and techniques.
• Practical Experience: Learn by doing, with real-world applications and use cases.
• Expert Guidance: Sessions led by experienced AI developers and researchers.

Why Join AI Hacker League?

• ?? Hands-On Experience: Get practical experience with cutting-edge AI tools and frameworks.
• ?? Networking Opportunities: Connect with other AI developers and enthusiasts.
• ?? Practical Implementation Techniques: Learn techniques not typically covered in traditional courses.
• ?? Stay Ahead in AI Development: Keep up with the latest advancements and trends in AI.
• ??? Build Your Portfolio: Work on real AI projects that showcase your skills.
• ?? Learn Best Practices: Gain insights from experienced developers to enhance your development workflow.

About This Project

This repository showcases a project created during one of our live sessions, demonstrating the power of AI agents using CrewAI, LangChain/LangGraph, and Aider. It's a perfect example of the practical, hands-on learning you'll experience in AI Hacker League.

AI Agent Development Tutorial

Welcome to the AI Agent Development Tutorial! This guide is designed to help you build and customize AI agents using powerful tools like CrewAI, LangChain/LangGraph, and Aider. Whether you're an entry-level developer or an experienced AI enthusiast, this tutorial will provide you with the knowledge and steps needed to create sophisticated AI-driven systems.

Benefits of Following This Tutorial:

• Step-by-Step Guidance: Clear instructions to guide you through each phase of development.
• Detailed Descriptions: In-depth explanations of each component and their interactions.
• Customizable Codebase: Learn how to modify and extend the code to suit your specific needs.
• Practical Examples: Real-world examples to demonstrate the application of concepts.
• Enhanced Understanding: Gain a comprehensive understanding of AI agent architecture and functionality.

Project Overview

The project implements a modular AI agent system with the following key features:

• ReACT (Reasoning and Acting) Methodology: Structured problem-solving approach integrating reasoning and action-taking.
• Multi-Agent Coordination using CrewAI: Allows multiple agents to work together seamlessly.
• Task Configuration and Agent Role Definition: Defines specific tasks and assigns roles to agents for efficient execution.
• Interactive Command-Line Interface with Cyberpunk Styling: Engaging interface for interacting with the system.

Key Features

1. AI Chat Assistant
2. Model Settings
3. Git Integration
4. Output Customization
5. History Management
6. Development Tools
7. Performance Settings
8. OpenRouter Integration

See it in full at:

https://github.com/ruvnet/hacker-league-jan23