Back to List
TechnologyAIBash ScriptingOpen Source

Learn Claude Code: A Nano-Scale Claude Code-Like Agent Built From Scratch Using Bash

The 'learn-claude-code' project, recently featured on GitHub Trending, introduces a novel approach to building a Claude Code-like agent. Developed by shareAI-lab, this project emphasizes the use of Bash as the sole tool required to construct a nano-scale agent from the ground up. The initiative aims to provide a comprehensive learning experience for users interested in understanding the fundamental building blocks of such agents, leveraging the simplicity and power of Bash scripting.

GitHub Trending

The 'learn-claude-code' project, developed by shareAI-lab, has gained attention on GitHub Trending. This project focuses on the creation of a nano-scale Claude Code-like agent, built entirely from scratch. The core philosophy behind this endeavor is that 'Bash is all you need,' highlighting the project's reliance on Bash scripting as the primary and sole tool for its construction. The project's title, '学习 Claude Code -- 一个从零开始构建的纳米级 Claude Code 类代理' (Learn Claude Code -- A nano-scale Claude Code-like agent built from scratch), clearly outlines its educational objective and technical approach. It offers a hands-on method for users to understand the foundational elements involved in developing agents similar to Claude Code, utilizing a minimalist toolset.

Related News

Technology

Datawhale China Launches 'Hello-Agents': A Beginner's Guide to Building Intelligent Agents from Scratch

Datawhale China has released 'Hello-Agents,' a new tutorial titled 'Building Intelligent Agents from Scratch.' This resource aims to provide a foundational understanding and practical guidance on the principles and implementation of intelligent agents, designed for beginners. The project is available on GitHub Trending and includes both Chinese and English versions.

Technology

GitHub Trending Project 'system-prompts-and-models-of-ai-tools' Catalogs Prompts and Models for Leading AI Development Tools

A new project, 'system-prompts-and-models-of-ai-tools,' is trending on GitHub, authored by x1xhlol. Published on February 27, 2026, this repository compiles system prompts and models for a comprehensive list of AI development tools. The collection includes resources for Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia, and v0, alongside other open-source tools. This resource aims to provide a centralized reference for developers working with various AI-powered coding assistants and platforms.

Technology

Scrapling: An Adaptive Web Scraping Framework for Single Requests to Large-Scale Operations Hits GitHub Trending

Scrapling, an adaptive web scraping framework, has recently appeared on GitHub Trending. Developed by D4Vinci, this tool is designed to handle a wide range of web scraping tasks, from individual requests to extensive, large-scale crawling operations. Its adaptive nature suggests flexibility and efficiency in managing diverse web data extraction needs. Further details and documentation are available via its Read the Docs link.