Agentic AI Engineering: 5 Lessons from the Claude Code Leak (TL;DR)

When the Claude Code source code leaked, exposing 512,000 lines of proprietary architecture, it didn’t cause an industry panic—it sparked an epiphany. The core autonomous execution loop was surprisingly simple. In fact, it was so architecturally transparent that a developer rebuilt a functional Python port over a single weekend using LLMs. This revelation accelerates a …

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Nested Learning: Waking Up the Static Giants of AI

Imagine you are the most intelligent person in the world. You have read every book, seen every movie, and studied every equation up until the year 2023. But today, you wake up with a strange condition: anterograde amnesia. You can hold a conversation, you can reason brilliantly using your vast library of knowledge, but you …

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Categorical Cross-Entropy: The Ultimate Guide for Deep Learning

The Art of Choosing One From Many: Categorical Cross-Entropy and the AI’s Grand Decision Imagine you’re a librarian training a new assistant. This isn’t just any library; it has 50,000 different sections. You hand the assistant a book and ask, “Where does this go?” The assistant, being new, doesn’t just point to one section. Instead, …

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