#sub-agent isolation
94 related articles
·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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·4 min
Tencent Marvis Hands-On: How Multi-Agent AI Takes Over Your Computer
Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.
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·7 min
AI Agent Practical Guide: The Complete Path from Building to Production Deployment
A deep dive into AI Agent architecture and engineering practices, covering tool design, ReAct execution patterns, Vercel deployment, and production considerations to bridge the prototype-to-production gap.
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·4 min
LLM Job Interviews: Multi-Agent and Harness Engineering Are Now Must-Know Topics
Deep analysis of LLM job interview essentials: Multi-Agent architecture, Harness engineering, Agent Loop, sandbox isolation, and memory management with career transition tips.
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·3 min
Andrew Ng Partners with Anthropic to Launch a Comprehensive Claude Code Hands-On Course
Andrew Ng partners with Anthropic on a Claude Code course covering context configuration, MCP server collaboration, multi-instance workflows, and a RAG chatbot hands-on project.
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·3 min
What Is AI Loop Programming? A Deep Dive into the Real Value and Hype Behind Loop Engineering
AI Loop Engineering is called a new programming paradigm, but is it truly revolutionary? This article analyzes its core principles, mathematical limitations, real-world details, and the hype behind it.
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·2 min
Deep Dive into Devin's Background Agent Architecture: Behind the 80% AI-Committed Code
Deep analysis of Devin's background agent architecture: brain-sandbox separation, environment setup, MCP integration, memory systems, and multi-agent collaboration challenges.
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·3 min
Agent Harness: A New AI Agent Paradigm from Prompt Engineering to Execution Environment Orchestration
Deep dive into Agent Harness Engineering: how loop execution and context isolation overcome the bottlenecks of prompt and context engineering in modern AI coding agents like Cursor.
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·4 min
Interview with Claude Code Lead: AI Programming ROI Mindset, Loops, and the Evolving Role of Engineers
Claude Code lead Boris Cherny shares insights on 100% AI coding, ROI thinking frameworks, Loops automation, Fable model capabilities, and how engineers are shifting from coding to product intuition and system design.
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·3 min
Pi: A Lightweight AI Coding Agent Framework — Setup & Hands-On Guide
A deep dive into Pi, a minimalist AI coding Agent framework covering multi-model support, extensions, skill loading, and hands-on custom extension building with model mixing strategies.
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·3 min
The Complete Guide to OpenAI Codex CLI: From Installation and Configuration to Enterprise-Level Practice
In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.
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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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·3 min
DeepSeek Open-Sources a Terminal Coding Agent: A Claude Code Alternative with 38K GitHub Stars
DeepSeek's open-source terminal coding Agent: zero dependencies, million-token context, 20 parallel sub-agents, 38K+ GitHub Stars. A detailed comparison with Claude Code.
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·4 min
Codex Technical Anatomy: From CLI to Cloud Agent to Multi-Agent Orchestration Platform
Deep dive into OpenAI Codex's three-layer architecture: CLI local Agent, cloud sandbox async execution, and Codex App multi-Agent orchestration command center.
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·4 min
A Complete Guide to Multi-Agent Teams in AI Coding: From Solo Work to Team Collaboration
Deep dive into multi-agent solutions from Cursor, Claude Code, and Tencent CodeBuddy — covering parallel exploration, cross-layer collaboration, context isolation, practical tips, and selection guide.
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·3 min
Fed Up with Every AI Coding Assistant, a Veteran Game Developer Built His Own Coding Agent
Veteran game dev Mario tried every AI coding tool including Claude Code, found them all lacking, and built Pi — a minimalist, extensible coding agent framework centered on developer control.
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·3 min
The Complete Guide to Codex Superpowers: 14 Skills That Make AI Follow Industrial-Grade Development Workflows
A complete guide to Codex Superpowers: 14 composable skills covering brainstorming, planning, TDD, and code review, with a real-world WeChat Mini Program case study.
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·3 min
Hermes Overhaul in Practice: Building a Multi-Model Orchestration Master Agent System
How to transform the Hermes Agent framework into a unified orchestration hub with intelligent routing across Claude, Gemini, and Codex, featuring inter-Agent communication, task monitoring, and more.
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Loop Engineering: The Paradigm Shift f…
·3 min
Loop Engineering: The Paradigm Shift from Prompt Engineering to Automated Programming Agents
Deep dive into Loop Engineering's five core components including worktree isolation, skill files, and sub-agent separation. Explore why loop design is harder than prompt engineering.
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·3 min
Claude Code Context Management in Practice: The Five-Layer Backpack and Token Optimization Principles
Deep dive into Claude Code's context mechanics: the five-layer backpack structure, 200K Token boundaries, three optimization strategies, and sub-agent isolation to cut Token costs and prevent AI degradation.
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