#ReAct loop
1279 related articles
Deep Dives·2 min
Agents Need Control Flow, Not More Prompts
Why do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.
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Tutorials·3 min
From Traditional RAG to Agentic RAG: Principles Compared and Enterprise-Grade Implementation Guide
Deep dive into traditional RAG limitations and Agentic RAG upgrades, with ChatBox source code analysis covering core tool design, intelligent decision flows, and LangGraph implementation for enterprise deployment.
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Tutorials·3 min
Complete Installation & Configuration Guide for VectCut AI Editing Agent: Windows & Mac
Complete guide to installing and configuring VectCut AI Editing Agent on Windows and Mac, covering client download, CapCut draft path setup, and Git Bash installation.
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Product Reviews·3 min
Google AI Studio Build 2.0 Deep Dive: A Comprehensive Breakdown of Five Core Upgrades
Deep dive into Google AI Studio Build 2.0's major upgrade: Anti-Gravity agent, Firebase integration, full-stack support, server-side generation, and multi-framework options transforming this free AI coding platform.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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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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Tutorials·3 min
Enterprise Multi-Agent Development: Low-Code Platforms vs. Hand-Written Code — An In-Depth Comparison
In-depth comparison of two enterprise multi-agent development approaches: low-code platforms like Dify vs. hand-written code with LangGraph. Covers efficiency, flexibility, security, and prompt injection defense strategies.
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Product Reviews·2 min
AI Coding Appliance vs Cloud LLMs: Can ¥480K in Annual Fees Buy 4 Local Deployment Solutions?
A deep cost comparison between AI coding appliances and cloud LLM APIs. A 20-person team spending ¥480K/year on tokens can deploy 4 local OnePanel units at ¥99K each, breaking even in 2.5 months.
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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·2 min
Frontend to AI Full-Stack: Complete Skill Tree & Learning Roadmap
A complete skill tree for frontend developers transitioning to AI full-stack engineers, covering TypeScript, NestJS, LangChain JS, RAG, vector databases, and Tauri 2 with a clear learning roadmap.
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Tutorials·3 min
Claude Code + Skills: A Practical Guide to 10x AI-Driven Test Case Generation
Learn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.
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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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Product Reviews·3 min
Trae SOLO 2.0 Deep Dive: Generating a ChatGPT Website with a Single Sentence — How Well Does It Work?
Hands-on test of Trae SOLO 2.0's zero-code development: generating a ChatGPT-like website from a single sentence. Detailed review of requirements generation, auto-correction, UI quality, and backend limitations.
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Product Reviews·3 min
Kimi K2.6 Hands-On Review: A Zero-Barrier Experience for Building Dynamic Websites
Hands-on review of Kimi K2.6's Web Coding capabilities covering animation pages, corporate sites, and more. Built-in database and one-click deployment let anyone generate and launch dynamic websites via prompts.
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Product Reviews·2 min
GPT-5 Codex Deep Dive: 93% Token Savings But Tool Ecosystem Still Needs Work
Deep testing GPT-5 Codex: 93.7% Token savings on simple tasks with deeper reasoning on complex ones. But UI quality drops, search is poor, and tool ecosystem fragmentation remains a major issue.
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Tutorials·3 min
Multi-Agent Automated Coding Framework: A Deep Dive into Zero-Intervention Project Delivery
Deep dive into a multi-Agent automated coding framework using file state machines, scheduler orchestration, and multi-agent collaboration to achieve fully automated development from requirements to delivery in 3.5 hours with zero intervention.
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Tutorials·2 min
Building a Multi-Platform Content Distribution Assistant with Zero Code: AI Coding in Practice
Build a multi-platform content assistant with zero code using AI Coding tools. Input a Bilibili video link to auto-generate copy for Xiaohongshu, WeChat, Weibo, and Douyin in 30 seconds.
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Tutorials·4 min
Manus AI Agent Side Hustle Monetization Guide: From Knowledge Base to Personalized Path Planning
Learn how to use the Manus AI agent to build a personal knowledge base and generate personalized side hustle monetization reports with three working modes, prompt templates, and practical examples.
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Product Reviews·1 min
Gemini 3.5 Flash Falls Flat: Great Benchmarks, Terrible Real-World Performance, and a Buggy CLI
Gemini 3.5 Flash benchmarks look great but it's the only model that failed real-world coding tests. Prices surged 20x with poor token efficiency.
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Product Reviews·2 min
Major Gemini CLI Update: Three Core Upgrades to This Free, Open-Source AI Agent Tool
Google's Gemini CLI update brings multimodal processing, agentic AI, and MCP protocol integration. This free, open-source terminal AI agent is evolving into a business automation engine.
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