#agent loop
2775 related articles
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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Tutorials·4 min
A Practical Guide for QA Engineers: Building 18 AI Agents with 5 Essential Tools
Learn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
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Deep Dives·3 min
ARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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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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Product Reviews·2 min
Roo Code Arena Mode and Plan Mode Explained: New Ways to Use Your AI Coding Assistant
Roo Code launches Arena Mode for blind AI model comparison and Plan Mode for plan-first coding workflows, enhancing AI-assisted programming control and evaluation.
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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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Tutorials·3 min
TierCraft AI: A Practical Deep Dive into Auto-Generating SaaS Pricing Plans with LangGraph + OpenAI
Deep dive into the TierCraft AI open-source project: using LangGraph to orchestrate AI Agent workflows with OpenAI o4-mini to auto-generate three-tier SaaS pricing plans, featuring Reality-Check loops and context-aware pricing.
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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
LangChain Deep Agents in Practice: Ten Agent Development Pain Points and Their Solutions
Deep dive into LangChain Deep Agents paradigm, analyzing ten Agent development pain points including tool sprawl and context pollution, with practical enterprise solutions using Deep Research.
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Tutorials·3 min
Dify Agent Building Tutorial: Tool Calling & ESA Search Practical Guide
Complete guide to building Dify Agents: Function Call tool calling, ESA search configuration, time awareness solutions, and 161 plugin tools for no-code AI agent development.
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Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & ESA Search Configuration in Practice
Complete guide to building AI Agents on Dify with zero code, covering tool integration, ESA search configuration, time awareness solutions, and Agent design best practices.
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Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & Exa Search in Practice
Complete guide to building AI Agents on Dify: covers Agent vs. chatbot differences, Exa search tool setup, time-awareness solutions, and functional separation best practices.
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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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Deep Dives·2 min
Deep Dive into Cursor's Security Review Feature: A New Standard for AI Code Security
Deep dive into Cursor's Security Review feature: two AI security agents for PR-level review and codebase vulnerability scanning, enabling shift-left security for enterprise DevSecOps.
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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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Tech Frontiers·3 min
Cursor Auto-Fixes CI Failures: How Always-On AI Agents Are Changing the DevOps Workflow
Cursor launches automatic CI failure repair with an always-on AI Agent that monitors GitHub repos, analyzes CI logs, identifies root causes, and submits fix PRs.
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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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