411 related articles

A detailed look at the Claude Code Chinese learning resource on Feishu Docs, covering AI agent learning, memory systems, and task decomposition with a systematic path from beginner to advanced.

A detailed guide to Claude Code's seven-layer architecture including memory, agent, and feedback loop layers, plus five pitfalls to avoid and four expert tips for building your AI operating system.

Duel Agents uses multi-model parallel competition and recursive task decomposition as a routing layer before tools like Claude Code, automatically selecting the most cost-effective AI coding result with claimed 70% savings.

A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.

Indie game developer reviews Hermes Agent vs OpenClaude: intelligent context compression, real-time Memory, remote control via Telegram, and practical use cases in game dev, social media, and email.
Deep Dive into the Three AI Programmin…
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

In-depth comparison of four AI Super Apps — Cursor, Codex, Claude Desktop, and Anti-Gravity — across 11 dimensions to help you find the best AI dev tool.

Learn how the PAO project integrates Bayesian optimization with Aspen Plus via YAML configuration for automated multi-objective chemical process optimization.

Cursor reveals internal data: enterprise AI-generated code surges from 15% to 75%, Agent requests grow 15x YoY, and 30% of PRs are completed entirely by Agents. Engineers are becoming Agent managers.

Claude Mythos 5 briefly spotted in Anthropic's API sparking launch speculation; OpenAI negotiates equity transfer and public wealth fund with U.S. government for over a year; Hermes Agent V0.16.0 ships native desktop app with Chinese language support.

Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.

Complete guide to OpenAI Codex setup: CLI installation, VS Code extension config, Agents.md best practices, MCP integration, and programmatic usage for efficient AI coding workflows.

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.

Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.

A detailed guide to Hermes Agent's seven-layer configuration: VPS deployment, Discord integration, scheduled backups, Kanban management, holographic memory, and MCP server setup.
Hooks and Skills: A Guide to Upgrading…
Deep dive into Claude Code's Hooks and Skills mechanisms. Learn to build safe, reliable AI programming workflows with a three-layer architecture (Cloud.md + Hooks + Skills).
Pi Coding Agent Deep Configuration Gui…
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
Deep Dive into How Claude Code Works: …
Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.