#ReAct pattern
1309 related articles
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.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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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.
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Tutorials·4 min
Agentic RAG Practical Guide: The Complete Evolution from Traditional RAG to Agent-Based Retrieval
Deep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
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Tech Frontiers·2 min
Microsoft Caught in a Bind in Musk v. Altman Case: The Awkward Position Behind a $13 Billion Investment
As OpenAI's largest investor, Microsoft is reluctantly drawn into the Musk v. Altman lawsuit. Analysis of Microsoft's $13B dilemma and its impact on AI governance.
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Expert Opinions·2 min
The Abuse of the AI Agent Concept: Why "11 AI Agents" Is Meaningless
When companies claim "11 AI Agents," what does that number mean? This article dissects the vague definitions, quantity marketing, and Agent Washing plaguing the AI industry.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Deep Dives·4 min
The Complete Guide to Agentic RAG: Principles and Code Implementation
Deep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
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Tutorials·4 min
LangChain Agent in Practice: Building a Production-Grade AI Agent from Scratch
A comprehensive guide to building production-grade AI Agents with LangChain, covering architecture design, tools, memory systems, ReAct strategy, and enterprise deployment.
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Industry Insights·3 min
AI-Generated Content Flooding Social Media: Identifying Characteristics, Platform Governance, and Coping Strategies
AI-generated content is flooding social media. This article analyzes typical AI content characteristics, platform governance challenges, and how creators can build competitive advantages through authenticity.
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Deep Dives·3 min
Deep Dive into Tencent's Open-Source WeKnora: An All-in-One Knowledge Platform with RAG + Agent + Wiki
Deep dive into Tencent's open-source LLM knowledge platform WeKnora, covering RAG, autonomous reasoning Agent, and self-maintaining Wiki capabilities, plus its Go-based architecture and enterprise use cases.
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Tutorials·4 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation Guide
Compare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
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Tech Frontiers·4 min
OpenAI's Daybreak Security Initiative Explained: How AI Proactively Discovers Zero-Day Vulnerabilities
OpenAI launches Daybreak, an AI security initiative using Codex Security agents to proactively discover zero-day vulnerabilities. A deep dive into its three-step defense workflow and competition with Anthropic's Claude Mythos.
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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.
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Tech Frontiers·2 min
SWE-bench Opens Evaluation Environments and Training Recipes: Dramatically Lowering the Barrier to AI Coding Agent Development
SWE-bench opens evaluation environments, task sets, trajectories, and training recipes, dramatically lowering the barrier to AI coding agent development.
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Tutorials·3 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation
Deep dive into Agentic RAG vs traditional RAG, covering planning, tool calling, and multi-step iteration capabilities with complete LangChain and LangGraph code implementation.
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Tech Frontiers·3 min
SWE-bench Official Blog Launches: AI Coding Evaluation Enters a New Phase
SWE-bench launches its official blog for in-depth content on AI coding evaluation, AI Agents, and toolchains—signaling a new phase of maturity and standardization in AI programming benchmarks.
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Tech Frontiers·2 min
DeadEnd-CLI: Open-Source AI Penetration Testing Tool Achieves 81% Pass Rate on Black-Box Benchmark
DeadEnd-CLI is an open-source AI agentic penetration testing tool achieving 81% full black-box pass rate on the XBOW benchmark using KIMI K2.5, with multi-model support and self-hosted deployment.
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Product Reviews·3 min
ZeroClaw: Deep Dive into the Multi-MCP Router & SDK Toolkit for Claude Code
Deep dive into ZeroClaw Plugin Hub, a multi-MCP router and SDK toolkit for Claude Code. Explore its routing capabilities, Agentic CLI design, SDK architecture, and how it solves AI tool ecosystem fragmentation.
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Product Reviews·3 min
Onlook: Open-Source AI Visual React Design Tool — Cursor for Designers
Onlook is an open-source AI-powered visual React design tool that lets designers edit real code visually. With 25,700+ GitHub Stars, it generates UI via natural language, bridging the design-development gap.
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