TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
Repository Index
64,764 visible repositories in the index
1–10 of 10 · Most stars
TranslatedAn easy-to-understand, witty and humorous Java learning guide, covering core knowledge points such as Java basics, Java concurrent programming, the Java Virtual Machine, Java enterprise development, and Java interviews. To learn Java, look no further than 二哥's (Erge, "Second Brother") Java advancement path 😄
- java
- jvm
- springboot
- mysql
A short tutorial about building Linux based operating systems.
TranslatedGo learning, advanced Go, practical Go utility classes, Go DDD project implementation, Go-kit, Go-Micro, Go push platform, microservice practice
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.
- kubernetes
- kubernetes-cluster
- kubernetes-deployment
- kubectl
The Illustrated TLS 1.2 Connection: Every byte explained
- tls
- tls12
- elliptic-curves
- rsa
A Backbone.js tutorial
🔐 A detailed example for how to encrypt data in an Elixir (Phoenix v1.7) App before inserting into a database using Ecto Types
- learn
- elixir
- phoenix
- encryption
:wrench: Hardware & computer guide for AI: how to choose & build a computer. This guide is intended for beginers in hardware, in order to plan what you need and how to choose parts for a computer specialized in Deep Learning. 🤖
As a user, I want a walk through of creating a web app from the `aurelia-axel` starter kit, based of a familiar database (Northwind).