#Edge AI
6114 related articles
·4 min
AI Keeps Failing at Writing Code? You Need Knowledge Bases, Skills, MCP, and Agents — All of Them
AI coding failures in enterprise aren't about weak models — they're about missing frameworks. Learn how Knowledge Bases, Skills, MCP, and Agents work together.
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·4 min
Feishu-Style Docs + AI Knowledge Base in Practice: A Complete Guide to RAG and TipTap Editor Development
Learn how to build a Feishu-style document system with TipTap editor, integrating AI auto-completion, document continuation, and RAG knowledge base Q&A with vector databases and Embedding.
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·4 min
AI Deleted a Database in 9 Seconds and Nearly Destroyed an Entire Company: Humanity's Ultimate Edge Against Replacement
Two real AI Agent disasters reveal: AI can delete a database in 9 seconds, but only humans can clean up the mess. Deep analysis of why humans remain irreplaceable in the AI era.
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·4 min
Vibe Coding Methodology for Non-Programmers: Building an AI Development Loop with Automated Testing + Knowledge Accumulation
How can non-programmers develop efficiently with AI? This guide details end-to-end automated testing and knowledge accumulation to build a self-verifying Vibe Coding development loop.
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·2 min
OpenAI Codex Surpasses 5 Million Weekly Active Users: The Transformation from Code Tool to Knowledge Work Platform
OpenAI Codex hits 5M weekly active users, expanding beyond code generation into research, content creation, and operations — evolving into a full knowledge work platform.
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·3 min
Two Minute Papers: The Gold Standard for Making Cutting-Edge AI Research Accessible
An in-depth look at how Two Minute Papers explains cutting-edge AI research in two minutes, covering Károly's methodology, topics, and lessons for science communicators.
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·5 min
CherryStudio + MCP: Tutorial for Building Automated AI Agents and Local Knowledge Bases
Complete guide to building automated AI agents with Cherry Studio and MCP protocol, covering environment setup, MCP Server configuration, web scraping, Shell execution, and Ollama local knowledge base deployment.
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·3 min
Grill Me Skill: Let AI Interrogate You to Rapidly Extract Tacit Knowledge and Boost Project Efficiency
Learn how the Grill Me skill uses AI-driven systematic questioning to extract tacit knowledge, with checkpoint mechanisms to optimize context quality and boost first-iteration success from 70% to 90%.
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·3 min
Guo Yu on the AI Agent Era: The End of Software and the Fate of Knowledge Workers
Former ByteDance engineer Guo Yu analyzes the AI Agent revolution: how Claude Code's Skill feature signals the end of traditional software, the SaaS collapse, and the future of knowledge workers.
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Tutorials·4 min
Practical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
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Tutorials·4 min
Complete Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Complete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
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Tutorials·3 min
Four Ways to Connect Any AI Model to Your Obsidian Knowledge Base
Four methods to connect any AI model to Obsidian: CC Switch, Copilot plugin, Terminal integration, and CLI operations — covering DeepSeek, Gemini, Codex and more.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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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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Tutorials·3 min
Cloudflare AI Search in Practice: Building an Intelligent Knowledge Base Q&A System from Scratch
Complete guide to deploying Cloudflare AI Search managed RAG service, covering R2 data sources, AI Gateway, text chunking, Reranker, and semantic caching for production-grade intelligent search.
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Tech Frontiers·1 min
Claude Sonnet 4.6 Comprehensive Review: A New AI Benchmark for Knowledge Work with Near-Opus Performance
In-depth analysis of Anthropic's Claude Sonnet 4.6: agentic tool use, computer control, and office task upgrades. Multiple benchmarks surpass Opus 4.6, redefining mid-tier AI capabilities.
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Product Reviews·2 min
KodHau MCP Tool: Injecting Team Tacit Knowledge into AI Coding Assistants
KodHau is a local MCP-based AI coding tool that injects team architectural decisions, code review records, and tacit knowledge into AI Agents, solving the core pain point of missing engineering context.
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Product Reviews·2 min
Knowly 1.0 In-Depth Review: A Proactive AI Learning Assistant That Automatically Organizes Your Knowledge
In-depth review of Knowly 1.0, an AI knowledge management tool blending LLM Wiki and NotebookLM with auto-organization, deep source understanding, and personalized learning workflows.
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Product Reviews·2 min
Kanwas Open-Source Knowledge Management Tool: Building a Knowledge Base That Serves Both Humans and AI Agents
Kanwas is a free, open-source knowledge management tool that turns your team's knowledge base into shared working memory for both humans and AI Agents.
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Industry Insights·1 min
Interpreting Anthropic's White Paper on US-China AI Competition: How America Can Maintain Its Frontier AI Edge
Anthropic's white paper on US-China AI competition analyzes America's frontier AI lead, key challenges, and strategic paths to maintain advantage including chip controls and alliances.
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