#sub-agents
305 related articles
·2 min
The Complete Guide to AI Agents: Concepts, Principles, and Top Development Tools
A deep dive into AI agents: core concepts, how they differ from LLMs, the Agent = LLM + Workflow + Knowledge Base formula, and a comparison of Coze, Dify, LangChain, and LlamaIndex.
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·4 min
Pi Agent Deep Dive: Four Core Advantages of a Minimalist Open-Source Framework
Pi is a minimalist open-source Agent framework with just 4 default tools and under 1,000 tokens in its system prompt, with 70K GitHub stars. Deep dive into its 4 core advantages vs. Claude Code and Codex.
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·2 min
Dify × RAG for Beginners: Build Your Own Game AI Assistant from Scratch
Build an AI game assistant from scratch with no coding experience! This hands-on guide walks you through Dify + RAG — from knowledge base setup to agent creation and tuning.
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·3 min
Intent-Driven Development: Claude Code's Evolving Paradigm and Practical Tips
Anthropic engineer Lydia and YK Sugi break down Claude Code's Intent-Driven Development paradigm, covering dynamic workflows, auto mode, sub-agent orchestration, and the evolving role of software engineers in the AI era.
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Claude Is Mr. Meeseeks: The Disposable…
·2 min
Claude Is Mr. Meeseeks: The Disposable Nature of AI Agents and Its Engineering Implications
Using Rick and Morty's Mr. Meeseeks to explain Claude and AI agents: stateless execution, task atomicity, and multi-agent recursive failure risks. A deep dive for developers building better AI workflows.
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·4 min
GPT-5.6 & OpenAI Super App Deep Dive: Loop Engineering as the New Paradigm Replacing Prompt Engineering
Deep dive into GPT-5.6 (Sol/Terra/Luna) and OpenAI's Super App: Loop Engineering, Parallel Agents, and Computer Use — unpacking the shift from prompt to loop engineering with real test cases and a startup framework.
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·2 min
Claude Code for QA Engineers: A Practical Handbook from Basics to Engineering-Level Implementation
A practical Claude Code handbook built for QA engineers — covering environment setup, spec-driven development, Skill encapsulation, MCP integration, and AI test sub-agents across 10 core modules.
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·3 min
OpenClaw Multi-Agent AI Programming Workflow in Practice: From Coder to Manager
Deep dive into OpenClaw multi-agent AI programming workflows: context layering, CMUX parallel terminal management, work trees, and manager-perspective debiasing for scalable AI dev automation.
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·5 min
AI Coding Getting Worse With Every Edit? Skills v1.1 Reveals the Real Cause and Solution
AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.
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·3 min
Why AI Agents Fail: Build Your Business System Before You Automate
90% of AI agents fail not because of technology, but due to missing business systems. Learn the 3 essentials for reliable AI agents and how to build real workflows with Google Drive + N8N.
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·3 min
Pi Agent Review: A Minimalist Coding Agent That's Lightweight, Efficient, and Highly Customizable
Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.
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·2 min
23K Stars on GitHub: The Hackathon Champion's Ultimate Claude Code Configuration Guide
A Claude Code open-source config with 278 skills and 67 sub-agents helps developers ship a full MVP in 8 hours. Covers security scanning, silent failure detection, and experience migration. Free under MIT license, compatible with Cursor and Codex.
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·3 min
GPT-5.6 Practical Guide: 7 Tips to Save Tokens and Boost Efficiency
7 practical GPT-5.6 optimization tips for Codex: control context windows, choose thinking modes, limit sub-agents, and trim agents.md to save tokens and cut costs.
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·2 min
LangGraph Multi-Agent Architecture in Practice: From Core Components to Production Deployment
A deep dive into LangGraph multi-agent architecture — covering hierarchical, network, and pipeline patterns with three hands-on projects using LangGraph 0.3.
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·3 min
Codex Practical Guide: A Complete Roadmap from Beginner to Advanced AI Programming
Master Codex AI programming assistant with this complete guide: CLI setup, slash commands, agents.md governance, MCP protocol, multi-agent systems, and enterprise plugin development.
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·3 min
AirOps in Practice: Building Enterprise-Grade AI Agents with the Claude Agent SDK
How AirOps replaced traditional workflow builders with the Claude Agent SDK to build an AI agent platform for content marketers — covering three architectural iterations, harness engineering, and sub-agent context management.
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·2 min
GPT-5.6 Soul In-Depth Review: Can Multi-Agent Programming Mode Reshape the AI Development Tools Landscape?
GPT-5.6 Soul review: Super Mode hits 91.9% on TerminalBench. We break down multi-agent scheduling, benchmark controversies, and real-world dev tool comparisons.
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·3 min
40-Hour Stress Test: An In-Depth Evaluation of GPT-5.6's Coding Capabilities
A developer spent 40 hours exhausting Codex Pro's weekly quota to benchmark GPT-5.6 on real enterprise projects. Key findings: proactive root cause tracing, stronger global codebase understanding, and stable long-task execution.
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·3 min
What Is Claude Code? A Five-Dimension Breakdown of AI Coding Assistants
Claude Code isn't just a chat AI — it reads your project files, edits code, and runs commands directly. See how it compares to ChatGPT and Cursor across 5 key dimensions.
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·3 min
The Truth About Codex Ultra Mode: It's Not a Reasoning Level
Deep dive into OpenAI Codex's Ultra mode: it's not a reasoning level but a system prompt switcher. Learn why Ultra burns tokens, the V1/V2 agent system issues, and how Claude Code Workflows gets it right.
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