#multi-agent parallel execution
544 related articles
Tutorials·3 min
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
Deep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
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Product Reviews·2 min
Kimi K2.6 Open-Source Hands-On: How Strong Is Its Orchestration of 300 Concurrent Agents?
Deep analysis of Moonshot AI's open-source Kimi K2.6 Agent orchestration: 300 sub-Agents executing 4000-step tasks, outperforming GPT-5.4 in coding benchmarks, LoRA fine-tuning on 2x RTX 4090s.
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Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
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Product Reviews·3 min
Kimi K2.6 In-Depth Review: A Complete Breakdown of Its Coding and Agent Capabilities
In-depth review of Kimi K2.6's coding, Agent collaboration, and visual development capabilities. #1 open-source on SWE-Bench Pro, 300 parallel sub-agents, API priced at 1/3 of competitors.
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Tech Frontiers·2 min
Kimi K2.5 Fully Open-Sourced: Deep Dive into 1T Parameter MoE Architecture + Agent Cluster Capabilities
Deep dive into Moonshot AI's fully open-sourced Kimi K2.5: 1T parameter MoE architecture, Vision-to-Code capabilities, and 100-Agent parallel cluster system topping open-source benchmarks.
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Tutorials·3 min
Enterprise AI Agent Four-Layer Architecture Design and PDCA Continuous Optimization Practical Guide
Deep dive into enterprise AI Agent four-layer architecture design (User, Gateway, Agent Service, Capability layers) with PDCA optimization methodology and dual manual+automated evaluation for production-grade Agent systems.
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Tutorials·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Tutorials·2 min
Advanced Codex Tips: Building a Cursor-Level Development Experience
Advanced OpenAI Codex tips including sidebar shortcuts, batch Agent sub-tasks, session management, and environment setup to create a Cursor-level development experience.
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Tech Frontiers·1 min
Google Anti-Gravity 2.0 Explained: The Multi-Agent Development Platform Replacing Gemini CLI
Google Anti-Gravity 2.0 officially replaces Gemini CLI with a desktop app, CLI terminal, and SDK. Powered by Gemini 3.5 Flash, it supports multi-Agent parallel collaboration and one-click Managed Agents deployment.
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Product Reviews·2 min
Mistral Vibe: Free Open-Source Terminal AI Coding Assistant — A Claude Code Alternative
Mistral Vibe is an open-source, free terminal AI coding agent by Mistral with sub-agents, async processing, and Slash commands — a powerful Claude Code alternative for developers.
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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·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·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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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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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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