AI_Devs Course

This repository contains my solutions to exercises from the AI_Devs course, a comprehensive program focused on building practical skills in AI development, particularly with Large Language Models (LLMs) and autonomous agents. Full agennda can be found here.

Repository Structure

• Individual exercise solutions
  • Each directory represents a different task from the course
  • Solutions are implemented in Rust 🦀
• memo/ - Custom caching/memoization crate for HTTP requests
  • Reduces API calls during development
  • Saves on token usage for paid APIs
  • Keeps an audit/history of API interactions
  • Much faster than API calls for repeated runs

Getting Started

1. Clone the repository
2. Set up your environment variables (.env file)
3. Navigate to a specific exercise directory
4. Run with cargo run

Note on Code Quality

These solutions were developed as part of a fast-paced learning process. Some code is intentionally quick-and-dirty, focused on solving the specific exercise rather than building production-ready software. My goal was to maximize learning and experimentation, not to optimize for maintainability or polish.