This repository is a curated collection of external resources (articles, papers, tools, videos) focused on AI inference engineering. It covers topics such as LLM serving, GPU kernel programming, attention mechanisms, quantization, distributed inference, and production deployment. The repository contains no application code, data pipelines, or executable scripts; it is purely a reference list organized by topic and difficulty tier. Despite being classified as an 'application' for structural purposes, it functions as a learning guide and bibliography, not a software system. The value lies in the curation and organization of resources, not in any original code or data assets.