#multi-agent parallelism
110 related articles
Tutorials·2 min
WenzAgent Open-Source Framework: A Practical Tutorial for Multi-Agent Collaborative Management on LAN
A detailed guide on deploying WenzAgent, an open-source multi-Agent management framework under Apache License, supporting LAN-based multi-device AI agent collaboration with Server-Client architecture.
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Tutorials·3 min
The Complete Guide to Cursor 2.0: Plan, Agent, and Ask — Three AI Modes Explained
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
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Product Reviews·2 min
Cursor 2.0-2.3 Core Evolution: AI Programming Enters the Era of Fleet Command
Deep dive into Cursor 2.0-2.3: multi-agent parallel programming, auto-evaluation, built-in browser, runtime debugging—pushing developers from coders to AI fleet commanders.
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Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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Product Reviews·2 min
14,000-Star Open Source Tool: Clone Any Website with One AI Command
Deep dive into Website Cloner, a 14,000+ Star open-source project that uses a four-step AI pipeline to clone any website into a runnable Next.js project with one command.
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Product Reviews·2 min
Cursor 3.0 Update Analysis: Multi-Agent Windows and Design Mode Hands-On Experience
Deep analysis of Cursor 3.0's two core updates: Agent Window for multi-Agent parallel development with cloud cross-device collaboration, and Design Mode for direct UI modification in the browser.
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Product Reviews·2 min
ZenFlow Hands-On: Testing the Spec-Driven Fully Autonomous AI Software Engineer
Hands-on review of ZenFlow—the first spec-driven fully autonomous AI software engineer. Multi-agent parallel collaboration with built-in verification delivers end-to-end development from ideation to production.
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Deep Dives·2 min
Hermes Agent Deep Dive: An Open-Source AI Digital Worker That Learns
Deep dive into NousResearch's open-source Hermes Agent framework: memory systems, skill reuse, tool calling, security, deployment guide, and multi-agent collaboration.
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Tutorials·2 min
npcpy: An Open-Source Framework That Rethinks AI Agent Development with Software Engineering Principles
Deep dive into npcpy's four-layer architecture, multi-agent collaboration, knowledge graph lifecycle management, and deployment strategies for building stable, controllable AI Agent systems.
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Product Reviews·2 min
Kimi K2.6 In-Depth Review: Comprehensive Evaluation of Coding, Multi-Agent, and Frontend Development Capabilities
In-depth review of Kimi K2.6 open-source model across frontend development, multi-agent collaboration, and long-horizon tasks, covering four professional modes, 3D/SVG generation, and pricing analysis.
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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
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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Tech Frontiers·2 min
Cursor 2.0 Beginner's Guide: Three AI Interaction Modes & Core Features Explained
Complete guide to Cursor 2.0 AI code editor covering Plan, Agent, Ask modes, Quick Edit, Git version control, MCP extensions, and project rules setup.
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Tech Frontiers·2 min
AI Weekly: GPT-6 Codenamed Spud Revealed, Claude Conway Agent, DeepSeek V4 Shifts to Huawei Chips
This week in AI: OpenAI's next-gen base model Spud (GPT-6) targets Spring 2026, Anthropic builds persistent agent Conway, Cursor 3 rebuilds the IDE for agents, DeepSeek V4 runs natively on Huawei chips, and Qwen 3.6 and Gemma 4 lead open-source.
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Tutorials·2 min
VS Code Multi-Agent Collaborative Development: A Practical Guide to Running Local, Background, and Cloud Agents in Parallel
Microsoft engineer demos three AI Agents running in parallel in VS Code—local, background, and cloud—showing a complete multi-agent collaborative development workflow with GitHub Copilot.
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Tech Frontiers·2 min
Major Claude Code Desktop Update: Built-in Terminal, Automated Routines, and Opus 4.7 Coming Soon
Claude Code Desktop gets a major update with built-in terminal, multi-panel collaboration, automated Routines, and Ultra Plan Mode, evolving from AI assistant to autonomous dev environment.
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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Product Reviews·3 min
Herdr: Multi-Agent Terminal Management Tool for Effortlessly Managing Claude Code/Codex Multitasking
Herdr is a terminal management tool designed for AI Agents, supporting visual tracking and free switching between Claude Code, Codex, Aider and more, with remote management and mobile support.
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Deep Dives·4 min
The Agentic AI Explosion: A Complete Guide to the Paradigm Shift from Generative to Agentic AI in 2026
In 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.
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