#agent collaboration
180 related articles
Industry Insights·4 min
In-Depth Analysis of the AI Large Model Job Market: Two Core Directions and Future Trends
In-depth analysis of the AI large model job market, breaking down the two core directions—algorithm research and engineering deployment—covering requirements, barriers, and career prospects.
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Tutorials·3 min
One Person, Three Machines: Local Agent Deployment and Multi-Machine Collaborative Operations in Practice
Deploy Cloud Code and Hermes AI Agents to efficiently manage three physical hosts solo. Covers Ventoy single-file deployment, BTRFS+RAW Image setup, Agent task division, and risk control strategies.
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Tech Frontiers·3 min
Windsurf Rebrands as Devin Desktop: A Complete Breakdown of the Multi-Agent Collaborative IDE Platform
Windsurf rebrands as Devin Desktop with Agent Command Center for multi-agent management, open-source ACP protocol, and a Rust-rewritten local Agent. Full breakdown of the upgrade and platform strategy.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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Tech Frontiers·2 min
Voice-First AI Phone Operating System: A Deep Dive into the Voice Hack Night Hackathon Grand Prize Project
Deep dive into Voice Hack Night's People's Choice winner Agentic OS: a voice-first AI phone OS using multi-Agent cross-app collaboration to replace touch with natural language conversation.
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Industry Insights·2 min
Cloud AI Agent Architecture Design: Far More Than Moving Local Agents to a Server
Building cloud AI Agents requires entirely new architectural thinking. This article analyzes three core infrastructure components—durable execution platforms, execution frameworks, and dev environment tools—to help teams avoid common pitfalls when migrating from local to cloud.
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Product Reviews·3 min
FreeBuff: A Free AI Coding Agent Integrating Top Models Like DeepSeek V4
FreeBuff is a completely free AI coding agent integrating DeepSeek V4 Pro, Kimi K2.6, MiniMax M2.7 and more. Nine sub-agents handle the full workflow from project building to code review.
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Tutorials·3 min
AI-Powered Mini Program Development: Fundamentals and Agent Configuration Practical Guide
A systematic guide covering mini program frontend-backend collaboration, WXML/WXSS/JS core languages, and AI Agent multi-agent configuration methods for effective AI-assisted development.
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Research·4 min
Deep Dive into Claude Code's Open-Source Architecture: The Design Philosophy Behind 510,000 Lines of Code
Deep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
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Product Reviews·3 min
OpenSwarm Hands-On: Open-Source Multi-Agent System Generates Complete Investment Package from a Single Prompt
Deep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
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Product Reviews·3 min
Cursor 2.0 Deep Dive: The In-House Composer Model and Five Major Feature Upgrades
Deep dive into Cursor 2.0's five new features: the in-house Composer model with major speed gains, Git Worktree multi-Agent parallel development, Agent View mode, built-in browser, and more.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Product Reviews·3 min
Deep Comparison of AI Coding Tools: Why OpenClaw Is Not Suitable for Writing Code
Deep comparison of AI coding tools like VS Code and Google IDE, revealing why OpenClaw is just a gateway not a coding tool, with analysis on model binding issues.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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