#Harness AI engineering
357 related articles
Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
Read more →
Tutorials·3 min
Complete Guide to Claude Code: Installation, Configuration, and Practical Comparison with Cursor/TRAE
Deep dive into Claude Code's core advantages, installation setup, and fundamental differences from Cursor and TRAE. Covers model configuration for Chinese users, system requirements, and usage tips.
Read more →
Expert Opinions·4 min
Rejecting Vibe Coding: Matt Pocock's Engineering-Driven Approach to AI Programming
TypeScript expert Matt Pocock's open-source Skills repo earned 80K+ GitHub Stars, using TDD and Domain-Driven Design to solve AI programming's three biggest pain points.
Read more →
Expert Opinions·4 min
Is CI/CD Dead? The Continuous Computation Architecture Revolution in the AI Agent Era
Traditional CI/CD pipelines are being shattered by AI Agents. This article analyzes the shift from PR-driven to intent-driven architecture, exploring Pre-Merge queues, stateful environments, and multiverse development as new continuous computation paradigms.
Read more →
Tech Frontiers·3 min
NVIDIA Nemotron Hackathon Korea Winners Announced: Asia-Pacific AI Developers Showcase Their Strength
NVIDIA Nemotron Hackathon Korea winners officially announced, showcasing Korean AI developer innovation. Analysis of Nemotron LLM ecosystem, Korea's AI landscape, and NVIDIA's global developer strategy.
Read more →
Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
Read more →
Tech Frontiers·2 min
DeepAgents: LangChain's Deep Agent Development Framework Built on LangGraph
DeepAgents is LangChain's open-source Agent framework built on LangGraph, supporting multi-step reasoning, state management, and multi-Agent collaboration for production-grade AI development.
Read more →
Product Reviews·2 min
One Prompt File to Make AI Write Truly Elegant Code
GitHub project yegor256/prompt uses a CLAUDE.md system instruction file to teach AI coding assistants to follow coding standards and generate high-quality, elegant code.
Read more →
Tutorials·2 min
ComfyUI-WanVideoWrapper: A Complete Guide to Installing and Using Wan Video Generation Nodes
A detailed guide to ComfyUI-WanVideoWrapper: integrate Wan video generation models into ComfyUI with text-to-video and image-to-video workflows, VRAM optimization tips, and use cases.
Read more →
Tutorials·3 min
Programmer Yupi's AI Resource Collection: A Complete Learning Path from Zero to Production
A deep dive into the popular GitHub project liyupi/ai-guide covering Vibe Coding tutorials, LLM usage, AI coding tools (Cursor/Claude Code), Prompts, RAG/MCP/Agent concepts — a 13,000+ Stars Chinese AI learning resource hub.
Read more →
Product Reviews·3 min
Artificial: A Go-Based Framework for Orchestrating Claude Code and Multiple AI Coding Assistants
Artificial is a Go open-source multi-agent orchestration framework that unifies Claude Code, OpenAI Codex, Cursor Agent, and local models for parallel AI coding workflows.
Read more →
Tech Frontiers·2 min
Codex CLI /goal Command Explained: AI Coding Agent Loops Automatically Until the Goal Is Done
Deep dive into Codex CLI 0.128.0's new /goal command: how prompt templates drive autonomous agent loops, token budget controls, and AI coding agents that work until the goal is done.
Read more →
Tutorials·1 min
Claude Code Infrastructure in Practice: Skill Auto-Activation, Hooks, and Agent Architecture Explained
Deep dive into the 9600+ Star project claude-code-infrastructure-showcase: Skill Auto-Activation, Hooks, and multi-agent architecture for engineered AI coding workflows.
Read more →
Deep Dives·6 min
learn-claude-code: Deep Dive into the 58K-Star AI Agent Framework
Deep analysis of the 58K-Star open-source project learn-claude-code: building a Claude Code-like programming agent from scratch. Deconstruct the Agent Harness, ReAct loop pattern, and Bash execution layer.
Read more →
Product Reviews·3 min
Deep Dive into LobeHub Open-Source Platform: A New Paradigm for Multi-Agent Collaboration with 76K Stars
Deep dive into LobeHub, an open-source AI Agent collaboration platform with 76K+ GitHub Stars. Built with TypeScript for multi-agent team collaboration, compared with LangChain, AutoGPT, and Dify.
Read more →
Product Reviews·3 min
everything-claude-code: A Deep Dive into the 170K-Star AI Coding Agent Optimization Framework
Deep dive into everything-claude-code, a 170K+ Star GitHub project that optimizes AI coding agents like Claude Code and Cursor through skills, instincts, memory, and security modules.
Read more →
Deep Dives·3 min
OpenAI Codex Masterclass Complete Breakdown: From Plugin Systems to Sub Agents, Everything You Need to Know About AI Coding Agents
Deep dive into the OpenAI Codex Masterclass covering Plugins, Automations, Sub Agents, Code Review, and experimental features with live demos explained.
Read more →