#pattern matching
1064 related articles
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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Deep Dives·4 min
From AIGC to AI Agent: Core Strategies and Practical Guide for Multi-Agent Development in 2025
Deep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
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Deep Dives·3 min
Is Banksy a Genius? Redefining Human Creativity in the Age of AI Art
As AI-generated art sweeps the globe, why are Banksy's street works still hailed as genius? This article analyzes the irreplaceability of human creativity, AI art's boundaries, and the future of human-machine collaboration.
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Industry Insights·3 min
The Border Is Everywhere: How Security Surveillance Technology Is Infiltrating Everyday Life
Security surveillance tech is spreading from national borders to city streets, schools, and phones. This article examines AI surveillance, facial recognition, predictive policing, and the fear economy threatening privacy and civil liberties.
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Product Reviews·3 min
Multi-Agent Orchestration Framework: A Super AI Development Team of 98 Expert Agents
Deep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
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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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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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Tech Frontiers·4 min
CSP Allow-list Experiment: A New Approach to Dynamic Domain Authorization via Sandboxed iframes
Deep dive into Simon Willison's CSP Allow-list Experiment: dynamic domain authorization via sandboxed iframes, custom fetch interception, and postMessage communication.
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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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Deep Dives·4 min
AI Guardrails Index: A Comprehensive Guide to the Most Complete LLM Safety Evaluation Framework
Deep dive into the AI Guardrails Index: the most comprehensive LLM safety evaluation framework covering PII protection, jailbreak defense, harmful content filtering, and its open-source design.
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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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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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Research·3 min
Multi-Agent AI Detects Zero-Day CVE Exploitation: Technical Deep Dive Behind 85% Accuracy
Deep dive into the multi-agent architecture of ai-detects-if-cve-was-zero-day: how GPT-4o, DeepSeek v3, and Llama 3.3 collaborate to detect zero-day CVE exploitation with 85%+ accuracy on 50 validated samples.
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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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