#learning path
3090 related articles
·2 min
v0 Integrates with Shopify: AI Conversations Generate Production-Grade E-Commerce Websites
Vercel's AI tool v0 announces deep Shopify integration, enabling users to generate production-ready e-commerce storefronts via natural language prompts.
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·2 min
Gamified Learning with NotebookLM: Activate Your Notes Using the Sherlock Holmes Deduction Method
Google NotebookLM launches a Sherlock Holmes notebook template, turning passive note review into interactive deduction games. Learn how the Deduce-Uncover-Prove method enables gamified learning.
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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
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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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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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·4 min
The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
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·3 min
Claude Code + Codex Cross-Validation: Dramatically Reducing AI Coding Bug Rates
Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.
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·3 min
Monetizing Claude Code: 4 Proven Revenue Paths Broken Down
Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.
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·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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·2 min
ChatGPT Merges with Codex: What a 24-Hour Autonomous AI Assistant Means
OpenAI fully integrates Codex into ChatGPT, creating an AI digital worker capable of autonomous planning and up to 24 hours of continuous execution. A deep dive into core upgrades, use cases, and industry impact.
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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
Claude Code: The Ultimate Beginner's Guide — A Deep Dive into the Open-Source Project That Hit 33K Stars in 3 Days
Deep dive into the viral Claude Code manual on GitHub (33K+ Stars): slash commands, memory system, MCP protocol, Hooks plugins, and how to build a full AI dev team.
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·2 min
The Five-Layer Evolution of Scaling Law: How Physical AI Opens the Next Growth Curve
Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
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·2 min
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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·2 min
Stable Diffusion Local Deployment Guide: Free Unlimited AI Image Generation
Complete guide to deploying Stable Diffusion locally for free unlimited AI image generation. Covers installation steps, model management, hardware requirements, and use cases.
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·1 min
Stable Diffusion Local Deployment Guide: Build Your AI Art Environment at Zero Cost
Complete guide to deploying Stable Diffusion locally, covering hardware requirements, installation steps, model configuration, and usage tips. Run AI art for free on your own PC with full privacy.
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·1 min
Stable Diffusion Poxian Edition Bundle: A Free Local AI Creation Tool with One-Click Installation
Stable Diffusion Poxian Edition bundle: install in 3 steps with 337 built-in workflows, Chinese-annotated models, GTX 1060+ support, and completely free local AI image/video generation.
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·4 min
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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