All articles
39272 articles
4 Iron Rules of Industrial Agent Development: Why AI Deployments in Factories Are Doomed to Fail
Deep dive into why industrial AI Agents fail: 4 critical strategies covering edge deployment, closed-loop control, rule verification, and safety mechanisms for reliable factory AI systems.
Building AI Agents from Scratch: A Complete Beginner's Guide
Build AI Agents with zero coding experience! Learn prompt engineering, RAG knowledge bases, and workflow orchestration using no-code platforms like Coze and Dify, plus real monetization paths.
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
AI Agent Development Learning Roadmap: A Four-Stage Guide from Zero to Production
A systematic AI Agent development roadmap covering core concepts, ReAct paradigm principles, multi-agent collaboration, and hands-on projects across four stages to master agent development in 2-3 months.
Andrew Ng on AI Agent Development: Evaluation and Error Analysis Are the Core Competitive Advantage
Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.
Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development
A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.
Career Transition Guide for AI Product Managers: Pick the Right Track Across Three Industry Layers
A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.
Getting Started with AI Agents: A Complete Learning Path from Zero to Production
A comprehensive guide to AI Agent architecture covering ReAct paradigm, multi-agent collaboration, RAG integration, and the planning-memory-tools framework, with a complete learning path from concepts to production deployment.
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
Agent Skills Architecture Explained: Modular AI Agent Development and How It Differs from MCP
Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.
CC Switch Tutorial: Connect Claude Code to Domestic Chinese LLMs Without a VPN
Step-by-step tutorial on using CC Switch to connect Claude Code to DeepSeek, Kimi, and other Chinese LLMs without a VPN or Claude account for low-cost AI coding.
LangChain4j in Practice: A Complete Tutorial for Building a RAG Medical Q&A System
A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
What Is an Agent Skill? Core Structure and Hands-On Beginner's Guide
A detailed guide to AI Agent Skills: core concepts, four key components (skill.md, references, scripts, assets), Skill vs. prompt comparison, and a practical path to building Agent capability packages from scratch.
Cursor Composer 2.5 In-Depth Review: One-Tenth the Cost of Opus — Is It Worth Using?
In-depth review of Cursor Composer 2.5 coding model through real-world tests including macOS cloning, landing pages, and 3D scenes. At just 7 cents per task, it offers stunning value vs Opus.
Claude Fable 5 Coding Stress Test: Three Hardcore Tasks, All Passed — Plus a Hybrid Cost-Saving Strategy
Hands-on test of Claude Fable 5 on 3D world generation, real repo bug fixing, and physics coupling simulation — all passed first try. Plus a hybrid cost-saving strategy with DeepSeek.
AI-Assisted Full-Scale Refactoring in Practice: A Methodology for Clearing All Technical Debt in 1 Day
A complete case study of AI-assisted full-scale project refactoring: from technical debt analysis and AI collaboration strategies to parallel building and final results — how to rebuild a project from scratch in just 1 day.
Claude Fable 5 Hands-On Review: Crushes GPT 5.5, But the Cost Is Brutal
In-depth hands-on review of Claude Fable 5's coding capabilities through full-stack and long-form complex tasks, comparing performance, costs, and use cases vs GPT 5.5 and Opus 4.8.
Frontier Code Deep Dive: Code That Runs ≠ Code That Merges — A Quality Revolution in Programming Benchmarks
Deep dive into Cognition's Frontier Code benchmark: why passing tests isn't enough, how six quality dimensions evaluate code, and why code quality is AI coding's next bottleneck.
AI Coding Showdown: Four Major Models Show Shocking Performance Gaps on a Dynamic Web Scraping Task
Real-world test of ChatGPT 5.4, Gemini 3.1, DeepSeek V4 Pro, and Kimi 5.1 on a Baidu dynamic web scraping task reveals surprising gaps in AI coding ability.