#Cursor multi-agent
371 related articles
Product Reviews·4 min
Kimi K2 Thinking Hands-On Review: Can It Replace Sonnet 4.5 in Claude Code?
Hands-on testing Kimi K2 Thinking in Claude Code across text creation, programming, agent building, and full-stack apps. Comparing it to Claude Sonnet 4.5 and DeepSeek as a cost-effective AI coding alternative.
Read more →
Product Reviews·3 min
Claude Code 2.0 Review: Rewind Rollback, Usage Monitoring, and Other Practical New Features
In-depth review of Claude Code 2.0's three core features: Usage monitoring, Rewind code rollback, and Ctrl+R prompt search, plus Sonnet 4.5 model and VS Code extension insights.
Read more →
Tutorials·3 min
51.8K Stars! Claude Code Best Practices: A Complete Guide from Getting Started to Agent Engineering
Deep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
Read more →
Tutorials·4 min
Vibe Coding Practical Guide: SDD Methodology Explained with 4 Enterprise-Level AI Programming Projects
Deep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
Read more →
Expert Opinions·4 min
Is CI/CD Dead? The Continuous Computation Architecture Revolution in the AI Agent Era
Traditional CI/CD pipelines are being shattered by AI Agents. This article analyzes the shift from PR-driven to intent-driven architecture, exploring Pre-Merge queues, stateful environments, and multiverse development as new continuous computation paradigms.
Read more →
Tutorials·3 min
Jules MCP Server: Using the MCP Protocol to Let Claude Orchestrate Google Jules for Autonomous Coding
Jules MCP Server is an open-source project providing a production-grade MCP server for Google Jules API, enabling Claude and Cursor to orchestrate autonomous coding via multi-Agent collaboration.
Read more →
Tutorials·4 min
Claude Code Installation Guide: From Zero Setup to Multi-Agent Collaboration in Practice
Complete Claude Code installation guide covering environment setup, one-command install, troubleshooting, cost-saving alternatives, and multi-Agent collaboration tips for beginners.
Read more →
Deep Dives·3 min
MCP Protocol Explained in 3 Minutes: The USB-C Standard for AI
A clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.
Read more →
Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
Read more →
Product Reviews·3 min
Cursor In-Depth Review: Four Modes + Parallel Agents — Why It Remains the Best AI Coding Tool
In-depth comparison of Cursor vs Claude Code, Windsurf, Trae, and other AI coding tools across Agent modes, terminal tools, browser integration, parallel processing, and context management.
Read more →
Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Read more →
Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
Read more →
Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
Read more →
Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
Read more →
Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
Read more →
Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
Read more →
Product Reviews·3 min
awesome-LLM-resources: A Comprehensive Analysis of the 8,200-Star LLM Learning Resource Repository on GitHub
In-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
Read more →
Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
Read more →
Product Reviews·3 min
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Learning Resource Repository
Deep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
Read more →
Tech Frontiers·2 min
OpenAI Symphony: One Codex Agent Per Task — A New Paradigm for Multi-Agent Parallel Programming
Deep dive into OpenAI's Symphony: assigning an independent Codex agent to each task for multi-agent parallel programming. Explore its architecture, developer impact, and industry trends.
Read more →