#Harness orchestration layer
156 related articles
Product Reviews·2 min
Google AntiGravity 2.0 In-Depth Review: Desktop App, Go-Rewritten CLI, and Gemini 3.5 Flash Hands-On
In-depth analysis of Google I/O 2026's AntiGravity 2.0 desktop app, Go-rewritten CLI, and Gemini 3.5 Flash model. Covers multi-agent workflow testing, benchmarks, and competition with Claude Code/Cursor.
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Tutorials·1 min
Archon Deep Dive: A Practical Guide to the Open-Source AI Coding Harness Builder
Deep dive into Archon, the open-source AI coding Harness builder. Learn how orchestrating multiple AI coding Agents can boost PR acceptance rates from 6.7% to 70% through systematic AI programming engineering.
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Tech Frontiers·2 min
Qwen3.7 Max Deep Dive: 1T Parameter MoE Architecture with Full Agent Framework Compatibility
Deep analysis of Alibaba's Qwen3.7 Max: 1T-parameter MoE architecture, 256K context window, leading agent programming capabilities, full framework compatibility, and the model-vs-harness industry debate.
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Deep Dives·3 min
The Essence of AI Alignment: Aligning What to Do, Not How to Do It
The core of AI alignment is aligning What to do, not How to do. Through an Alembic database migration case, learn how Harness engineering crystallizes dev standards into reusable assets for automated programming.
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Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
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Deep Dives·3 min
Harness Engineering: The Core Engineering Methodology for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: its definition, six core components, and production practices. Learn why Prompt and Context Engineering aren't enough for production-grade AI Agent systems.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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