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79 related articles
·7 min
Turning Any AI Agent into an Orchestration Hub: A Deep Dive into Multi-Agent Collaboration Architecture
An in-depth analysis of the "any Agent as an orchestrator" design philosophy, exploring the technical implementation of multi-Agent collaboration, context management, and workflow automation.
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·7 min
LangChain.js + Nuxt.js: An AI Full-Stack Advancement Path for Frontend Engineers
Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.
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·5 min
Building RAG from Scratch: Creating a Domain Expert System with Local Small Models
Step-by-step guide to building a complete RAG pipeline with Ollama + LangChain + FAISS + Qwen 1.5B. Run document retrieval and intelligent Q&A locally without a GPU.
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·4 min
Building an Enterprise Knowledge Base with RAG: A Complete Guide from Principles to Optimization
A comprehensive guide to building enterprise knowledge bases with RAG, covering vector database selection, text chunking, Embedding models, multi-strategy retrieval, re-ranking, and Agent integration for high-accuracy AI Q&A systems.
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·3 min
AI Agent Beginner's Guide: A Complete Four-Stage Learning Path
A complete learning path for AI Agent development from scratch, covering core theory, ReAct paradigm, multi-agent collaboration, Prompt optimization, and hands-on projects across four stages.
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·4 min
AI Large Language Model Career Transition Roadmap: A Three-Phase Learning Guide from Zero to Enterprise-Ready
A systematic three-phase AI LLM career transition roadmap: from Transformer fundamentals to RAG, Agent & LangChain development, to LoRA fine-tuning. Build enterprise-ready skills in two months.
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·3 min
Java Developer's Guide to AI: Hands-On with Spring AI and RAG
A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.
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·3 min
Andrew Ng Partners with Anthropic to Launch a Comprehensive Claude Code Hands-On Course
Andrew Ng partners with Anthropic on a Claude Code course covering context configuration, MCP server collaboration, multi-instance workflows, and a RAG chatbot hands-on project.
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·4 min
Ponytail: The Lazy Philosophy That Teaches AI to Write 90% Less Code
Deep dive into how GitHub's trending project Ponytail uses YAGNI principles, NCP protocol, and declarative scheduling to constrain AI coding assistants, cutting 90% of redundant code.
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·3 min
Vue3 + SpringBoot in Practice: A Full-Stack AI Travel Recommendation Assistant Explained
Build an AI travel recommendation assistant with Vue3 and Java SpringBoot. Features intelligent itinerary planning and AI chat, perfect for beginners entering full-stack + AI development.
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·3 min
N2 Model as a Free Claude Code Alternative: Does Voice-Driven AI Coding Actually Work?
N2 model, built on Qwen 3.5, is completely free and integrates with Claude Code. Real-world tests show voice commands generating full landing pages, with AgentOS enabling shared memory and multi-model collaboration for zero-cost AI coding.
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·3 min
Hermes Desktop Officially Launched: A Forever-Free, Self-Evolving AI Agent for Your Desktop
Hermes Desktop is now available for Windows, macOS, and Linux. This MIT-licensed AI Agent features persistent memory, self-evolution, skill management, and multi-platform integration — completely free.
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·3 min
AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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·2 min
Xiaomi MiMo Code Goes Open Source: How Cross-Session Memory Is Changing AI Programming Collaboration
Xiaomi's MiMo Code is an open-source terminal programming Agent with cross-session memory and multi-Agent collaboration. Explore its memory system, self-evolution mechanism, and how it differs from Claude Code.
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·4 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Plan from Zero to Production
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
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·3 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
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·4 min
5 Viable Paths to Making Money Independently with Python
5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.
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Tech Frontiers·3 min
Hermes Agent 0.14.0 Update: Native Windows Support and 180x Performance Boost
Hermes Agent 0.14.0 Foundation Update: local proxy unified auth, 180x browser automation speedup, native Windows support, AI video generation, free DeepSeek V4, and lossless Handoff context switching.
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Tutorials·3 min
Building an AI Agent Mobile App with Zero Code: From Prompt to App Store — A Complete Walkthrough
Learn how to use VibeCodeApp to build a D2C e-commerce AI Agent mobile app with RAG capabilities using natural language prompts — from writing prompts to App Store deployment.
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Industry Insights·3 min
Career Switching to AI with Zero Background: Is a Three-Month Fast Track Really Feasible?
In-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.
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