Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

Here are my personal paper reading notes (including machine learning systems, AI infrastructure, and other interesting stuffs).

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

One second to read GitHub code with VS Code.

A simple expressive web framework for java. Spark has a kotlin DSL https://github.com/perwendel/spark-kotlin

Learn how to develop, deploy and iterate on production-grade ML applications.

Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发

Coding articles to level up your development skills

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

A distributed log system which is based on spring cloud & docker

An C/S-Style Express Logistics Management System written in Java