Tesla's Full Self-Driving v12 completely replaced 300,000 lines of traditional code with end-to-end neural networks, demonstrating how AI models can serve as logic engines.
A practical exploration of how classic software design patterns come together to create a flexible, human-in-the-loop agent workflow that monitors websites and automates social media posts.
Explore how eliminating conditional statements can lead to cleaner, more maintainable code through polymorphism, functional programming, and data-driven approaches.
Research suggests microservices may be more suitable than monorepos for AI coding tools, especially with large projects, due to LLM context window limitations.