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A detailed guide to Hermes Agent's seven-layer configuration: VPS deployment, Discord integration, scheduled backups, Kanban management, holographic memory, and MCP server setup.

Deep dive into the viral Claude Code manual on GitHub (33K+ Stars): slash commands, memory system, MCP protocol, Hooks plugins, and how to build a full AI dev team.
Andrew Ng Partners with Google to Laun…
Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.
The Five-Layer Evolution of Scaling La…
Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
Save 80% Tokens with Claude Code: Head…
Deep comparison of Headroom, RTK, and LinCTX—three open-source context compression tools. Real tests show 80% token savings in Claude Code sessions.
The Complete Guide to Claude Code: Cho…
A deep dive into Claude Code's core advantages as a terminal AI programming tool, how it differs from Device Agents, and practical setup steps to get started with enterprise-grade AI coding.
Codex Systematic Tutorial: From Beginn…
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
What Is Claude Code? Key Differences f…
Deep dive into Claude Code's core advantages: automatic project code reading, local execution, persistent memory. Compare with regular AI chat and Cursor to find your ideal AI coding assistant.
Claude Code Installation & Setup Guide…
Step-by-step guide to installing and configuring Claude Code, covering Git/Node.js prerequisites, environment variables, and connecting domestic LLMs to build an AI assistant that reads, writes, and executes code.
Getting Started with Claude Code: Setu…
A practical guide to Claude Code: core concepts, setup tips, and how to pair it with DeepSeek for AI-driven software testing workflows.
Java Developer's Guide to AI Applicati…
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
MCP Protocol Deep Dive: The Core Mecha…
Deep dive into the MCP protocol's architecture, server types, scope modes, and context window optimization strategies for configuring Claude Code's external tool connections.
DeepSeek-TUI: Five Core Capabilities o…
Deep dive into DeepSeek-TUI's five core capabilities: TUI interface, reasoning display, auto model selection, million-token context, and session rollback. Compare with Claude Code and Codex.
LangGraph Core Explained: Its Relation…
Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.
The Complete Vibe Coding Workflow: A G…
A detailed guide to the complete Vibe Coding workflow — from idea structuring and AI-driven UI design to automatic code generation — helping non-coders launch apps fast.
Codex Beginner's Guide: Lessons Learne…
Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.
Google Agent Skills Library Hands-On: …
Hands-on review of Google's open-source Agent Skills library: how 12 Skills improve AI-generated UI quality, configuration pitfalls, and the strategic significance of standardizing Agent Skills.

Exploring the "Magic Fatigue" effect in AI products: why users feel AI is getting dumber, how to distinguish real degradation from rising expectations, and strategies for managing user expectations.

OpenAI announces ChatGPT, Codex, and Responses API now support private MCP servers, enabling secure enterprise intranet AI integration via outbound-only HTTPS.
TutorialsIn-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.