#Harness plugin ecosystem
100 related articles
·7 min
Getting Started with LangChain 1.3: Core Concepts of LLMs and Agents
An in-depth breakdown of LangChain 1.3's core concepts, covering the three major limitations of LLMs, Agent architecture, memory management, and a complete learning path. Master LangChain and LangGraph to quickly build AI development skills.
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·6 min
The Complete Guide to GLM-5.2: Hands-On Review of an Open-Source Long-Context Model
An in-depth hands-on review of Zhipu AI's flagship GLM-5.2: 1M-token context, strong coding, mature agent workflows—at one-fifth the price of top frontier models. Covers website testing, Cursor integration, MCP tooling, and production migration.
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·6 min
From Frontend Engineer to AI Agent Developer: A Complete High-Paying Skill Tree Breakdown
Pure frontend roles are shrinking; AI Agent development is the high-salary divide. This guide breaks down the full skill tree for frontend engineers pivoting to AI: TypeScript, frameworks, AI productivity, and Agent core concepts (MCP, Tool Calling, Skill).
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·7 min
DryFox v0.3.3: AI Agent Team Collaboration + Composable UI Panels Explained
In-depth look at DryFox v0.3.3's three core features: multi-role agent team collaboration, one-click reusable team templates, and block-style composable UI panels. With Stop Hook, file mailbox comms, and hot-reload plugins.
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·3 min
Codex CLI Practical Guide: From Setup to Enterprise-Level AI Development
Master OpenAI Codex CLI from setup to enterprise use: slash commands, AGENTS.md, MCP protocol, multi-agent coordination, plugin development, and RAG project implementation.
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·3 min
GitHub Daily · July 4th: The Agent Skills Ecosystem Explodes
GitHub Trending July 4: The AI Agent ecosystem explodes across specs, frameworks, and apps — from agentskills to Vibe-Trading, a full Agent tech stack emerges.
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·8 min
The Enterprise AI Flywheel: Building a Model-Eval Loop as a Competitive Moat
The core of enterprise AI isn't calling general models—it's building a self-reinforcing "model-harness-sandbox-eval" flywheel. This article analyzes the four components, tacit knowledge moats, and the "token value per watt" efficiency metric.
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·3 min
GitHub Daily · July 3: AI Penetration Testing Tops the Charts, Claude Code Ecosystem in Full Bloom
GitHub Trending July 3: AI pen testing tool strix tops the chart, Claude Code ecosystem explodes with Skills, Agents, and plugins reshaping development.
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·4 min
From Vibe Coding to Enterprise-Grade AI Programming: A Complete Progression Path with Practical Analysis
Deep analysis of Vibe Coding's limitations, comparison of Claude Code vs Codex, and a three-layer AI engineering methodology for progressing from casual AI coding to enterprise-grade development.
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·4 min
From Vibe Coding to AI-Engineered Programming: A Practical Guide to Three Levels of Mastery
A deep dive into three levels of AI programming: Vibe Coding for rapid prototyping, Plan Mode for structured development, and AI-engineered programming for enterprise-grade projects with SDD and Claude Code SuperPower.
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·4 min
GLM 5.2 & Zcode Hands-On Review: A Deep Dive into the Free AI Coding Tool with 5 Million Tokens/Day
In-depth review of Zhipu's GLM 5.2 model and Zcode programming tool: interface experience, coding benchmarks, and long-horizon Agent performance compared to GPT and Opus. 5M free tokens/day with MIT license.
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·3 min
New Book Breakdown: "Claude Code in Practice: The Way of Harness Engineering" — Master AI Programming Engineering in Ten Chapters
Deep breakdown of the new book on Claude Code engineering, covering Harness concepts, four-layer architecture, five-layer memory, sub-agents, hooks, MCP protocol, and CI/CD integration.
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·3 min
Codex vs Claude Code in Practice: A Complete Guide to AI-Engineered Programming for Enterprise Projects
In-depth comparison of Codex and Claude Code for enterprise AI development, covering Vibe Coding limitations, multi-Agent workflows, OpenRouter platform architecture, and programmer learning paths.
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·4 min
DeepSeek Forms Harness Team: AI Coding Competition Enters the Second Half
DeepSeek forms a dedicated Harness team to rival Claude Code. Analysis of the four-layer architecture, three core advantages, and 40x cost edge driving AI competition from model wars to engineering deployment.
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·3 min
Codex + Claude Code in Practice: From Vibe Coding to Enterprise-Grade AI Engineering
A deep dive into Codex and Claude Code for real-world AI programming—from Vibe Coding prototypes to Plan mode and SuperPAL engineering, with LLM selection strategies and enterprise workflows.
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·4 min
Codex Hands-On Tutorial: From Installation and Configuration to Enterprise-Level Project Development
A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.
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·4 min
Claude Code in Practice: Complex Payment Feature Built in 4 Hours for $60
A detailed walkthrough of Claude Code + Opus 4.7 in action: from CCSwitch setup to model configuration, completing a complex payment feature in 4 hours for $60 with zero hand-written code.
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·4 min
Claude Code in Practice: Completing a Complex Payment System Integration in 4 Hours for $60
Real case study showing how Claude Code + Opus 4.7 completed a complex payment system integration in 4 hours for $60, covering CC Switch setup, prompt engineering, and model selection strategies.
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·4 min
The Complete Guide to Claude Desktop: 15 Core Features & 9 Money-Saving Tips
Deep dive into Claude Desktop's Chat, Cowork & Code modes, Skill system setup, 8 automation workflow examples, and 9 practical tips to dramatically save Tokens.
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·3 min
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.
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