#Fallback mechanism
300 related articles
·2 min
The Real Risk of AI Agent Deployment: Not Going Rogue, But Being Too Obedient
A real AI Agent customer service failure reveals: the biggest deployment risk isn't losing control — it's faithfully executing a poorly defined goal. A deep dive into Agent risks and boundary management.
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·3 min
Full-Stack AI Development with Vercel: A Complete Guide to AI SDK, RAG, and Production-Ready Applications
Master full-stack AI development with Vercel: from LLM, RAG, and vector embeddings to AI SDK, AI Gateway, and v0 — build production-ready AI web apps end to end.
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AI Workbench: One-Click Content Creation from Topic Research to Final Output
AI Workbenches automate the full content creation pipeline — from topic research to visual output. Multi-model routing, transparent execution, and reusable workflow templates redefine how creators work.
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Dify + MCP in Practice: Build a Multi-Function AI Agent Workflow in Four Steps
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·4 min
Alibaba's Open-Source OCR: An AI Code Review Solution with 4.7x Better Precision and 14x Fewer Tokens
Alibaba's open-source CLI tool OCR (Open Code Reviewer) achieves 4.7x precision improvement and 14x Token reduction through a deterministic engineering + Agent hybrid architecture for AI code review.
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·4 min
AI Agent Learning Roadmap for Beginners: A Three-Stage Journey from Fundamentals to Hands-On Practice
A systematic AI Agent learning roadmap for beginners covering core theory, the ReAct paradigm, and multi-agent collaboration, with hands-on project suggestions.
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·4 min
LLM Job Interviews: Multi-Agent and Harness Engineering Are Now Must-Know Topics
Deep analysis of LLM job interview essentials: Multi-Agent architecture, Harness engineering, Agent Loop, sandbox isolation, and memory management with career transition tips.
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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
Building a Coding Agent from Scratch: Creating a Codex-like AI Programming Tool
Deep dive into AI coding agent architecture: from interview-level cognition to building a Codex-like CLI agent tool, covering agents.md, Skills systems, context management, and more.
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·3 min
AI Agent Development: A Three-Stage Learning Roadmap from Zero to One
A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.
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·3 min
Can AI Q&A Tools Solve College Application Anxiety? A Sober Analysis of Their Value and Limitations
Can AI Q&A tools help students and parents resolve major-selection anxiety during college application season? This article analyzes AI consulting quality, use cases, and limitations.
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·2 min
The Biggest Weakness of Chinese AI Models: They Need Frameworks to Work Well
Deep analysis of why Chinese AI models (DeepSeek, Qwen) need opinionated tool frameworks to work properly, exploring training differences, function calling maturity, and framework selection advice.
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·2 min
Complete Record of Building a LAN Collaborative To-Do Tool with DeepSeek Free Version
A non-professional developer used DeepSeek's free web version to build a desktop to-do tool with day/week/month views, timed reminders, and LAN multi-user collaboration. Full development breakdown included.
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·4 min
Loop Engineering Explained: Agent Loop Mechanisms and the New Paradigm of AI Agent Development
Deep dive into Loop Engineering: from Agent Loop principles and While loops to Graph structures, covering loop efficiency optimization and termination strategies for AI agent development.
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·3 min
Core Analysis of Agent Skill: Progressive Disclosure & Middleware Practical Guide
Deep dive into Agent Skill's core design—Progressive Disclosure—with detailed middleware and dynamic tool implementation, Multi-Agent comparison, and practical tips.
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·4 min
AI Agent Development: A Complete Six-Week Systematic Learning Roadmap
A systematic six-week learning roadmap for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, deployment, and hands-on projects.
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·4 min
Claude Code Beginner's Guide: From Installation to Real-World Development
Step-by-step guide to installing Claude Code, connecting domestic LLMs like Qwen, DeepSeek, and Xiaomi MiMo via CC Switch, with hands-on demos of batch file processing and e-commerce site development.
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·2 min
CSS if() Statements and Custom Functions: Media Queries Are About to Change Dramatically
CSS is introducing if() statements and @function custom functions, revolutionizing how media queries are written. Learn about inline conditionals, custom responsive functions, and their impact.
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·3 min
Three CSS Layout Patterns You'll Use in Every Project: Stack, Prose, and Pile
Deep dive into Kevin Powell's three CSS layout primitives: Stack (Flexbox vertical stacking), Prose (long-form typography spacing), and Pile (Grid area stacking) for maintainable, flexible CSS.
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·3 min
Pure CSS Scroll-Driven Animations: No JavaScript Required
Learn how to implement CSS Scroll-driven Animations using animation-timeline and view() for pure CSS scroll fade effects, with animation-range tips and best practices.
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