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1715 related articles
Tutorials·3 min
LangGraph Multi-Agent Architecture: Core Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
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Tech Frontiers·3 min
Tech Weekly: OpenAI Swarm Framework, Claude Data Visualization & Lightweight OS Analysis
This week's tech roundup analyzes OpenAI's Swarm Agent framework, Anthropic's Claude data visualization app, Kali Linux, Unikraft lightweight OS, and Go Blueprint — covering AI, security, and cloud computing.
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Product Reviews·3 min
Cursor 3.0 Deep Dive: From Code Editor to AI Agent Command Center
Deep dive into Cursor 3.0's major upgrades: proprietary Composer 2 coding model, multi-agent parallel workflows, built-in browser and design mode. Exploring the shift from VS Code fork to Rust rewrite and the AI agent programming paradigm.
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Tutorials·3 min
Building a Financial Report Analysis AI Agent with Cursor + Skills: A Step-by-Step Tutorial from Scratch
A hands-on tutorial for building a financial report analysis AI Agent from scratch using Cursor editor, Skills definitions, and MiniMax M2.1. Covers setup, architecture, Skills methodology, and multi-language programming.
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Research·3 min
110K PRs Tested: Which of 5 AI Coding Agents Is Most Reliable?
Empirical study of 110K open-source PRs comparing 5 AI coding agents (GitHub Copilot, Claude Code, Devin) on merge rates, code survival, and long-term maintainability—revealing AI code's 50% one-year survival rate.
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Tutorials·3 min
Cursor 1.0 Getting Started Guide: Complete Workflow from Installation to MCP Setup
Complete guide to Cursor 1.0: installation, Chinese setup, MCP configuration, and AI Agent tips. From download to folder management, model selection, and file referencing for beginners.
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Product Reviews·3 min
AI Coding Tools Deep Dive: How to Choose Between Qoder, Cursor, Windsurf, and Devin
Deep comparison of Qoder, Cursor, Windsurf, and Devin across autonomy, reliability, and context capabilities to help developers choose the right AI coding assistant.
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Product Reviews·2 min
Google Stitch 2.0 Deep Dive: A Free AI Frontend Code Generation Tool Powered by Gemini
Deep dive into Google Stitch 2.0: Gemini 3.0 Pro reasoning engine, variant generation, predictive heatmaps, AI Studio and Jules export for a complete design-to-deployable-code workflow—completely free.
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Deep Dives·3 min
Claude Sub-agents vs Agent Teams: How to Choose Between Two AI Multi-Agent Collaboration Patterns
Deep comparison of Claude sub-agents vs agent teams: architecture differences, use cases, and real-world results. A Pokémon RPG case study shows how agent teams achieve 95%+ feature completeness.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Deep Dives·3 min
Deep Dive into MCP Code Execution & Agent Skills: Compressing 150K Tokens Down to 2,000
Deep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
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Tutorials·2 min
Getting Started with Coze: A Complete Guide to Building AI Agents from Scratch
A detailed guide to Coze platform's core features, including the differences between AI agents and AI applications, plus a beginner's learning path for building AI agents with no-code tools.
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Product Reviews·2 min
GPT Image 1.5 Deep Dive: Multi-Turn Editing Stability and a Fundamental Shift in Image Generation
Deep dive into GPT Image 1.5's core upgrades: multi-turn editing stability, 4x speed boost, creative editing capabilities, and API access for commercial applications.
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Tutorials·2 min
LangGraph vs LangChain: How to Choose Your Agent Development Framework
In-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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Tutorials·3 min
Getting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
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Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
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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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Product Reviews·2 min
G-Rec: An Open-Source Agent Framework Built for Gemini CLI
G-Rec is an open-source agent framework built on Gemini 2.5 Pro with Windows/Chinese path support, persona systems, and skills extension, offering a free alternative to Claude Code.
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Tutorials·3 min
Agent Skills Decision Trees: Enabling Autonomous Decision-Making for AI Coding Assistants
Learn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
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Tutorials·3 min
Complete Guide to Connecting Claude Code with DeepSeek-V4
Complete guide on connecting DeepSeek-V4 to Claude Code, covering Node.js installation, environment variable configuration, model mapping, and real-world coding tests for a near-premium AI programming experience with open-source models.
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