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4337 related articles
Industry Insights·2 min
Nadella Introduces the Loopcraft Framework: Building AI Ecosystems Through Feedback Loops
Microsoft CEO Satya Nadella's Loopcraft framework explains how to build frontier AI ecosystems through nested feedback loops across technology, business, and ecosystem dimensions.
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Industry Insights·3 min
OpenAI's Internal Codex Usage Surges 56x — AI Coding Is Eating Everything
OpenAI reveals internal Codex usage data: Research up 56x, Customer Support 32x, Engineering 27x, Legal 13x since Nov 2025. AI coding tools are penetrating every department faster than expected.
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Tech Frontiers·2 min
GLM-5.2 Tops Global Open-Weight Model Rankings: Leading the Industry in Frontend Coding
Zhipu AI's GLM-5.2 tops the Artificial Analysis Intelligence Index for open-weight models and is recognized as the world's top frontend coding model. A deep dive into its performance and the shifting open-source AI landscape.
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Tech Frontiers·2 min
A Rare Quiet Day in AI: Thinking Clearly in an Age of Information Overload
When the AI industry hits a rare quiet day, what should practitioners do? Exploring information fatigue, signal vs. noise, and how to use calm periods for deeper technical and strategic work.
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Tutorials·3 min
ChatGPT Plus Subscription Guide: Are GPT-5.5, image-2, and Codex Worth the Upgrade?
A detailed look at ChatGPT Plus features — GPT-5.5, image-2, and Codex — with a Plus vs Pro comparison and a complete step-by-step subscription guide for users outside the US.
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·4 min
Getting Started with Software Testing: A Complete Guide to Core Concepts and Classification Systems
A comprehensive guide to software testing fundamentals covering definitions, purposes, classification by phase, technique, and method, plus core concepts like smoke testing and regression testing.
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·3 min
Tencent CodeBuddy Hands-On Review: Complete Guide to Installing and Using This Free AI Coding Assistant
Hands-on review of Tencent's free AI coding assistant CodeBuddy, covering installation, login setup, basic command testing, and building a corporate website with one prompt.
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·3 min
How MCP Enables AI Agents to Automatically Follow Design Systems
How MCP connects design systems with AI Agents for real-time spec queries and automatic compliance. Covers context engineering, MCP architecture, and AI-driven development.
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·3 min
A Complete Guide to Learning Python from Scratch: From Basics to Web Scraping Projects
A systematic Python learning path for beginners covering syntax, OOP, web scraping, office automation, and data analysis, with methodology tips and resources.
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·3 min
Dify + MCP in Practice: Build a Multi-Function AI Agent Workflow in Four Steps
Learn how to build a multi-function AI agent workflow using ModelScope MCP Plaza and Dify, featuring dietary recommendations, algorithm practice, news, and travel planning with zero coding.
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·3 min
The Complete Guide to Building Dify Workflows: A Hands-On Guide to No-Code AI Applications
Complete guide to Dify's five app types, Docker deployment for v1.8.0, and workflow building. Compare Dify vs Coze and learn to build enterprise AI apps with no code.
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·4 min
Dify Local Deployment Tutorial: Build Your AI Application Development Platform from Scratch
Step-by-step guide to deploying Dify locally using BT Panel, covering VM setup, Ubuntu configuration, and Docker deployment for a private AI dev platform.
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·3 min
AI Agent Core Principles Fully Explained: Decision Loops and the Three Key Components in Practice
A deep dive into AI Agent core principles: the Perceive-Plan-Act-Observe decision loop, plus Planning, Memory, and Tools — the three key components explained with practical examples.
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·3 min
Python Self-Study Roadmap: A Three-Phase Learning Method from Zero to Hands-On Projects
A detailed Python self-study roadmap in three phases: fundamentals, OOP & intermediate skills, and hands-on projects including web scraping and office automation.
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·3 min
Learn Python from Scratch: A Three-Phase Systematic Learning Path and Practical Guide
How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.
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·3 min
Claude Fable 5 Deep Dive: An AI That Works 9 Hours Straight — Are Programmers Really Being Replaced?
Deep analysis of Anthropic's Claude Fable 5: derived from the ultra-powerful internal model Methos, scoring 80.3 on SWE Bench Pro crushing GPT 5.5, tested working autonomously for 9.5 hours straight.
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·3 min
Vibe Coding in Practice: How Four Tools Work Together to Make AI Programming More Convergent and Controllable
Explore the four-layer AI programming architecture: SuperPrompt for project-level decomposition, Gstack for module-level code layering, and Cursor/Claude Code for execution. Master this workflow to make Vibe Coding truly engineering-grade.
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·3 min
Can AI Replace Traditional Code Generators? Playing to Each Tool's Strengths Is the Optimal Solution
AI-generated code is costly, unpredictable, and has a 50%+ rework rate. For standardized CRUD, traditional code generators far outperform AI. Learn how to combine both tools for the optimal dev workflow.
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·4 min
OpenAI Agents SDK in Practice: Harness and Sandbox Separation Architecture Explained
Deep dive into OpenAI Agents SDK updates covering Harness-Compute separation, Codex-style orchestration, sandbox snapshots, skills system, and multi-agent collaboration with practical demos.
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·4 min
AI-Driven HFSS Simulation: Codex Automates AEDT Modeling and Solving via MCP
Learn how Codex or Claude Code uses AEDT MCP to connect with Ansys HFSS, automating Wilkinson power divider modeling, solving, and post-processing end-to-end.
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