1.shareAI-lab / learn-claude-code
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
- ai-agent
- claude
- +4 more
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66 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
from vibe coding to agentic engineering - practice makes claude perfect
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Examples and guides for using the OpenAI API
🚀✨ Help beginners to contribute to open source projects
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
100 Days of ML Coding
TranslatedThe original of this article was written by the well-known hacker Eric S. Raymond. It teaches you how to ask technical questions correctly and get answers you are satisfied with.
Clean Code concepts adapted for JavaScript
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
TranslatedA Python web scraping tutorial series, learning Python web scraping from 0 to 1, including browser packet capture and mobile APP packet capture with tools such as fiddler and mitmproxy, the use of the various modules involved in web scraping, such as requests, beautifulSoup, selenium, appium, scrapy, etc., as well as IP proxies, CAPTCHA recognition, using Mysql and MongoDB databases with Python, multi-threaded and multi-process scraping, reverse engineering and cracking of CSS scraping encryption, JS scraping reverse engineering, distributed scraping, practical scraping project examples, etc.
Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
Pocket Flow: Codebase to Tutorial
📜 33 JavaScript concepts every developer should know.
Crack WPA/WPA2 Wi-Fi Routers with Airodump-ng and Aircrack-ng/Hashcat
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
Best Practices on Recommendation Systems
PyTorch Tutorial for Deep Learning Researchers
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
An educational resource to help anyone learn deep reinforcement learning.
Community guide to securing and improving privacy on macOS.
TranslatedMachine learning tutorials
Translated7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) A series on writing/implementing things from scratch in 7 days with Go
Learning operating system development using Linux kernel and Raspberry Pi
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
Inspired by @veltman's command-line mystery, use SQL to research clues and find out whodunit!
Quantitative analysis, strategies and backtests
Microservice Architecture with Spring Boot, Spring Cloud and Docker
TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
Natural Language Processing Tutorial for Deep Learning Researchers
:dolphin: A comprehensive tutorial on getting started with Docker!
Extensive Open-Source Guides for Android Developers
TranslatedA programmer who loves cooking and is determined to use animations to explain algorithms in plain, easy-to-understand terms. My interview website: www.chengxuchu.com
Tutorials and programming exercises for learning Q# and quantum computing
A technical report on convolution arithmetic in the context of deep learning
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
llama3 implementation one matrix multiplication at a time
Implementing a Neural Network from Scratch
TranslatedAlgorithm Patterns — the most scientific way to practice, the fastest path to an offer. You deserve it~ Algorithm templates, the most scientific way to practice problems, the fastest path to practice problems, you deserve it~
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
:earth_americas: machine learning tutorials (mainly in Python3)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Modern Java - A Guide to Java 8
TensorFlow Tutorials with YouTube Videos
TranslatedCAPTCHA recognition
:satellite: Simple and ready-to-use tutorials for TensorFlow
Android Transition animations explanation with examples.
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
The complete guide to static typing in "React & Redux" apps using TypeScript
A starter template for TypeScript and React with a detailed README describing how to use the two together.
The repository host gives no description.
A walk through the Elixir language in 30 exercises.
Flaskr: Intro to Flask, Test-Driven Development (TDD), and JavaScript
:earth_americas: Simple and ready-to-use tutorials for TensorFlow