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All articles and insights

June 21, 2026

Ponytail: Curing AI Agents’ “Overengineering Illness” — Cuts 54% of Code in Real Tests

June 13, 2026

Agency Agents Beginner’s Guide: Turn Claude Code into a Dream Team with 100+ AI Expert Personas

June 9, 2026

Career-Ops for beginners: Let an AI agent screen 700+ roles and generate 100+ tailored resumes

June 9, 2026

Agent Reach Deployment Guide: Make Claude Code / OpenClaw Understand Twitter / Xiaohongshu / Bilibili

June 9, 2026

Odysseus Deployment in the Real World: Set Up a Self-Hosted AI Workstation in 30 Minutes

May 17, 2026

OpenHuman 入门指南:比 OpenClaw 更易用的开源 AI 助手

May 9, 2026

GenericAgent 部署与接入:在全平台构建微信/QQ/飞书机器人

May 8, 2026

Open Design for Beginners: The Right Way to Use the Open-Source Claude Design

May 5, 2026

Ruflo for Beginners: a Multi-Agent Collaboration Engine That Self-Improves

May 2, 2026

mattpocock Skills Getting Started Guide: Teach AI TDD and Structured Debugging

April 26, 2026

Getting Started with OpenMythos: An Open-Source Implementation of the Claude Mythos Recurrent Reasoning Architecture

April 22, 2026

Fincept Terminal Getting Started: An All-in-One Open-Source Quant Trading Platform

April 21, 2026

Claude Context: Getting Started—Help AI Truly Understand Your Entire Codebase

April 12, 2026

Caveman for beginners: cut AI fluff, compress 75% of tokens, and get more accurate results

April 12, 2026

Graphify in Practice: Turn Any Codebase into a Queryable Knowledge Graph

April 11, 2026

Getting Started with Multica: Open-Source Claude Managed Agents, an AI Employee Management System with a Task Board, Autonomous Task Pickup, and Skills You Can Build Up

April 11, 2026

Archon for Beginners: Git Worktrees for Isolation + DAG Workflows, Taming Uncertainty in AI Coding

April 11, 2026

OpenSpec for Beginners: Keeping Your AI Collaboration Framework Within Clear Boundaries Using Specification Docs

April 10, 2026

DeepTutor for Beginners: Practical Deployment of an Agent-Native Personalized Learning Assistant

April 10, 2026

Getting Started with karpathy-guidelines: Andrej Karpathy’s Recommended Programming Standards for Large Language Models