#multi-agent development
1023 related articles
Product Reviews·2 min
Deep Dive into Warren: A Fully Autonomous AI Coding System Where One Person Uses Agents to Handle the Entire Development Workflow
Deep dive into Warren, a fully autonomous AI coding system. Learn how developer Jim West uses multi-agent collaboration to automate the entire pipeline from intent definition to production deployment.
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Tutorials·2 min
The Six Key AI Agent Protocols Explained: MCP, A2A, UCP, AP2, A2UI, and AGUI
Deep dive into six core AI agent protocols: MCP, A2A, UCP, AP2, A2UI, and AGUI — covering tool integration, multi-agent collaboration, commerce, payments, and dynamic UI, with Google ADK examples.
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Tutorials·2 min
8 Core Concepts of AI Programming: From Chat Mode to Engineering Mode
A systematic breakdown of 8 core AI programming concepts: Agent, Sandbox, Permissions, Cloud.md, MCP, Skills, Subagents, and Non-interactive — evolving from chat mode to engineering mode.
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Tutorials·3 min
Open Code Practical Guide: Building an AI Coding Team with Multi-Agent Systems
Deep dive into Open Code's core architecture: main agents, sub-agents, Skills extensions, JWT security, and multi-platform deployment for building efficient AI coding teams.
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Product Reviews·2 min
Claude Code vs Codex Hands-On Comparison: What 100 Hours of Deep Testing Reveals
100+ hours of hands-on testing comparing Claude Code and ChatGPT Codex across customization, performance, token usage, and cost with real-world benchmarks.
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Product Reviews·1 min
ECC: A Unified AI Programming Operating System for Claude Code, Codex, and Cursor
ECC (Enhanced Claude Code) is an open-source AI programming OS that unifies Claude Code, Codex, and Cursor through a five-layer architecture with 246 skills, 61 Agents, and selective installation.
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Product Reviews·2 min
Codex vs Claude Code: An In-Depth Comparison of Two Leading Coding Agents
In-depth comparison of OpenAI Codex and Claude Code across work modes, extension mechanisms, and security strategies to help you choose the right AI coding agent for your team.
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Tech Frontiers·1 min
Devin Launches Multi-Instance Parallel Mode: AI Programming Evolves from Solo Operations to Army-Scale Collaboration
Devin launches multi-instance parallel mode, letting developers dispatch multiple AI Agents for different tasks simultaneously. Analysis of its impact on development efficiency and how multi-Agent collaboration redefines the developer role.
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Tutorials·2 min
Oz Platform in Practice: A Complete Configuration Guide for AI Agents That Auto-Earn Money and Fix Bugs
Complete guide to Oz agent orchestration: AI agents auto-update Udemy coupon pages for $1K+/month passive income and auto-fix GitHub bugs via triggers, environments, and skills.
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Tutorials·3 min
Agent Skills Explained: Structure, Core Principles, and Practical Application Guide
Deep dive into AI Agent Skills: their concept, core structure (skill.md, references, scripts, assets), and practical use cases to help you master the complete learning path from understanding to customizing Skills.
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Expert Opinions·2 min
Anthropic Reveals: Core Methodology for Building More Powerful Claude Agents
Anthropic shares deep insights on building Claude agents, covering Claude Code SDK, multi-agent coordination, tool design principles, and Skills injection techniques.
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Product Reviews·2 min
In-Depth Review of ByteDance's Trae: The Strengths and Limitations of a Free AI-Native IDE
In-depth review of ByteDance's AI-native IDE Trae: analyzing its three-layer engine architecture, Builder Mode, multi-modal code generation, and how it compares to Cursor as a free AI coding tool.
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Product Reviews·2 min
GLM5.1 Coding Capabilities Put to the Test: Building a Full-Stack AI Canvas App from Scratch
A hands-on test of Zhipu GLM5.1 in full-stack development — building an AI canvas app from scratch to evaluate improvements in problem understanding, debugging, and multi-agent collaboration.
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Tutorials·2 min
Career Prospects for LLM Development Engineers: Job Categories, Education Requirements, and Learning Paths
In-depth analysis of three LLM engineer career paths (Application, R&D, Algorithm), bachelor's degree entry, core algorithms, salary benchmarks, and a three-tier learning roadmap.
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Product Reviews·2 min
Tollecode: A Local-First AI Coding Agent That Keeps Your Code on Your Machine
Tollecode is a local-first AI coding agent supporting file operations, Shell commands, and sub-agent scheduling. Code stays on your machine with full developer control—ideal for privacy-conscious engineers.
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Product Reviews·2 min
Fabraix: 1000+ Adversarial Strategies to Uncover Hidden Flaws in AI Agents
Fabraix is an adversarial testing tool built by former Meta engineers that uses 1000+ adaptive attack strategies to discover hallucinations, security vulnerabilities, and logic errors in AI Agents through pure black-box testing with zero integration.
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Product Reviews·2 min
Monid 2.0 Deep Dive: How a Unified Tool Routing Platform for AI Agents Is Changing Development
Deep dive into Monid 2.0 — a unified routing platform for AI Agent tools. Explore its core features, pay-as-you-go model, market positioning, and real value for developers.
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Product Reviews·3 min
Ara: An Open-Source Computer Use Tool as a Multi-Agent Automation Alternative to OpenClaw
Ara is an open-source Computer Use tool and OpenClaw alternative that uses multi-AI-agent collaboration to automate tasks. Explore its architecture, use cases, and competitive landscape.
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Product Reviews·2 min
BNA Code: An AI Programming Tool That Builds Full-Stack Mobile Apps with a Single Command
BNA Code is a CLI AI agent tool that uses a dual-Agent architecture to generate complete full-stack mobile apps with auth, database, and APIs from a single terminal command in minutes.
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Product Reviews·2 min
Minions: An Open-Source Control Center for AI Agent Parallel Task Management
Minions is an open-source task control panel for Hermes Agent, offering a unified task board, smart monitoring, auto-retry, and escalation to solve silent failures and blocking in parallel AI Agent workflows.
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