#Retrieval-Augmented Generation
226 related articles
Deep Dive into the Three AI Programmin…
·3 min
Deep Dive into the Three AI Programming Frameworks: The Right Way to Do Specification-Driven Development
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.
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·3 min
Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework
A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.
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·2 min
NotebookLM Anniversary Data Revealed: The Source-Driven AI Revolution Behind 1.5 Billion Notebooks
Google NotebookLM celebrates its anniversary with 1.5 billion notebooks, audio overviews, and slides created. A deep dive into its source-driven AI design, core features, and future direction.
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NotebookLM Mobile Adds Report Generation: Briefing Docs, Study Guides, and Blog Posts
Google NotebookLM mobile update adds three report generation features: Briefing Docs, Study Guides, and Blog Posts, letting users create professional documents from notes on the go.
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·4 min
Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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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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·4 min
Core Methodology of Prompt Engineering: A Systematic Deep Dive from Principles to Practice
A deep dive into prompt engineering principles and core methodology. Master three keys to high-quality prompts: specific, rich, and unambiguous. Learn tuning techniques and advanced programming integration.
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·2 min
Hermes Agent Seven-Layer Configuration Guide: From VPS Deployment to MCP Server — A Complete Tutorial
A detailed guide to Hermes Agent's seven-layer configuration: VPS deployment, Discord integration, scheduled backups, Kanban management, holographic memory, and MCP server setup.
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Pi Coding Agent Deep Configuration Gui…
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Pi Coding Agent Deep Configuration Guide: A Complete Breakdown of Custom Tools, Sub-Agents, and the Skill System
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
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Claude Code Complete Tutorial: Best Pr…
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Claude Code Complete Tutorial: Best Practices from Architecture to Parallel Development
DeepLearning.ai and Anthropic's joint Claude Code course covers architecture, parallel development, and MCP server integration. From RAG chatbots to Figma-to-code workflows, master AI coding assistant best practices.
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What Is Cursor? A Complete Guide to th…
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What Is Cursor? A Complete Guide to the AI-Native Programming IDE's Core Features and Use Cases
Deep dive into Cursor's four core features: AI-native design, natural language code generation, context awareness, and multi-model switching. Compare it with traditional IDEs to see if Cursor can boost your dev efficiency.
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Save 80% Tokens with Claude Code: Head…
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Save 80% Tokens with Claude Code: Headroom vs RTK vs LinCTX Deep Comparison
Deep comparison of Headroom, RTK, and LinCTX—three open-source context compression tools. Real tests show 80% token savings in Claude Code sessions.
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AI Era Survival Guide for Programmers:…
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AI Era Survival Guide for Programmers: The Transformation from Code Producer to AI Orchestrator
In-depth analysis of AI programming's impact on traditional developers, covering Vibe Coding trends, the emerging FDE role, and how programmers can transform through business acumen and architectural thinking.
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The Five-Tier Pyramid of IT Careers in…
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The Five-Tier Pyramid of IT Careers in the AI Era: Your Position Determines Your Career Ceiling
AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
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Can AI Agents Replace Security Enginee…
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Can AI Agents Replace Security Engineers? Insights from Coding Agents Reveal the Industry Truth
In-depth analysis of AI agents' real impact on cybersecurity. From chat tools to coding agents like Crawfish and Hermes, learn how AI is reshaping security engineering and how professionals should adapt.
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Codex Systematic Tutorial: From Beginn…
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Codex Systematic Tutorial: From Beginner to Enterprise-Level AI Engineering
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
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OpenCode Open-Source AI Coding Assista…
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OpenCode Open-Source AI Coding Assistant Review: Can It Replace Claude Code?
In-depth review of OpenCode, a free open-source AI coding assistant. Covers installation, features, and cost comparison with Claude Code to help developers decide if this zero-config alternative is worth switching to.
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What Is Claude Code? Key Differences f…
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What Is Claude Code? Key Differences from Regular AI Chat and Cursor
Deep dive into Claude Code's core advantages: automatic project code reading, local execution, persistent memory. Compare with regular AI chat and Cursor to find your ideal AI coding assistant.
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AI Agent Core Architecture Explained: …
·4 min
AI Agent Core Architecture Explained: A Deep Dive into the Four Key Modules — Perception, Brain, Action, and Memory
Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.
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