#Subagents
78 related articles
·5 min
Advanced Claude Code in Practice: Building a Top-Tier AI Development Workflow
In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.
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·3 min
Claude Code Practical Guide: Environment Setup, Git Workflows, and Engineering in Production
A complete guide to Claude Code: environment setup, switching to domestic LLMs, CLI commands, Git workflows, MCP, Subagents, and enterprise project walkthroughs.
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·2 min
The Complete Guide to Agent Skills: Andrew Ng × Anthropic Joint Course Breakdown
Andrew Ng's DeepLearning.ai teams up with Anthropic to teach Agent Skills: file structure, progressive disclosure, MCP integration, and the full path from Claude.ai to the Agent SDK.
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·3 min
OpenCode In-Depth Review: Can This Open-Source Coding Agent Replace Claude Code?
OpenCode is an open-source terminal coding agent with 180K+ GitHub stars, supporting hundreds of models and a dual-layer agent architecture — completely free. See how it compares to Claude Code.
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·3 min
The Complete OpenAI Codex Practical Guide: From Installation to Enterprise Deployment
A complete guide to OpenAI Codex: CLI setup, slash commands, AGENTS.md, MCP integration, multi-agent collaboration, and a RAG customer service project walkthrough.
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·3 min
Codex Efficiency Guide: Practical Strategies to Avoid Burning Through GPT-5.6 Credits
GPT-5.6 (Sol) is powerful but burns credits fast. Learn reasoning tier selection, Fast Mode, and prompt stop-point strategies to get the most out of Codex.
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GPT-5.6 Trio Launches: Luna, Terra, an…
·3 min
GPT-5.6 Trio Launches: Luna, Terra, and Sol Built for Long-Running Agentic Tasks
OpenAI officially launches the GPT-5.6 family: Luna, Terra, and Sol, with 1M token context and a focus on long-running agentic performance. A deep dive into three-tier pricing, Agents' Last Exam results, the SWE-Bench Pro controversy, and new API features like programmatic tool calling and native multi-agent support.
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·6 min
A Deep Dive into AI Agent Harnesses: The Core Engineering Behind Agent Frameworks
What is an AI Agent's harness? This article systematically dissects the core components of agent frameworks: context management, tool use, control loops, and caching strategies—revealing why the same model performs so differently across harnesses.
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·5 min
GPT-5.6 Released: Hands-On Analysis of Programmatic Tool Calling and Autonomous Agents
GPT-5.6 is officially released with core upgrades including programmatic tool calling, autonomous subagent delegation, and higher token information density. A hands-on card game build reveals its Agentic power.
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·6 min
The Complete Beginner's Guide to Claude Code: From Installation to Advanced Usage
Claude Code is one of the most powerful AI coding agents, running in the terminal to write code, batch operations, build web projects, and more. This guide covers installation, connecting local models via CC Switch, permission modes, CLAUDE.md, Skills, MCP, Subagents, and more.
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·4 min
Harness Engineering: The Third Phase of AI Coding and a Practical Guide to agents.md
A deep dive into Harness Engineering — the third phase of AI coding. Based on research across 2,853 GitHub repos, explore agents.md, Skills, MCP, and eight configuration mechanisms to control your AI coding assistant.
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·7 min
LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures
LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.
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·3 min
Claude Code Agent Teams: A Practical Guide to AI Team Collaboration in Software Development
A deep dive into Claude Code Agent Teams: how they differ from Subagents, contract-first design, model allocation strategies, and a real case of 16 agents building a C compiler.
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·6 min
Claude Code Chinese Guide: A Complete Path from Zero to an Efficient Workflow
A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.
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·6 min
Vibecoding in Practice: Architecture Trade-offs and Implementation of a Dual-Engine TTS Router
Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.
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·3 min
Andrew Ng x Anthropic: A Complete Guide to Agent Skills
DeepLearning.AI and Anthropic launch an Agent Skills course. Learn how Skills work, progressive disclosure, MCP integration, and subagent patterns for AI agent development.
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Claude Code Cost-Saving Tips: Let AI U…
·2 min
Claude Code Cost-Saving Tips: Let AI Use Its Own Judgment and Delegate Across Models
Simon Willison shares Claude Code tips: trust the AI's judgment over rigid rules, and use primary/subagent model delegation (Opus/Sonnet/Haiku) to cut token costs dramatically.
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·6 min
Agent Studio: A Unified Platform for Authoring AI Roles and Skills
Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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·3 min
Loop Engineering Fully Deconstructed: The Paradigm Shift from Operator to System Designer
Deep dive into Loop Engineering's five building blocks: scheduling, worktrees, skills, plugins & connectors, and subagent separation, with three practical cases from minimal loops to enterprise-grade applications.
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·4 min
Claude Code Beginner's Guide: From Installation and Configuration to Hands-On Projects
Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.
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