#Agentic patterns
265 related articles
·3 min
What Is AI Loop Programming? A Deep Dive into the Real Value and Hype Behind Loop Engineering
AI Loop Engineering is called a new programming paradigm, but is it truly revolutionary? This article analyzes its core principles, mathematical limitations, real-world details, and the hype behind it.
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·2 min
What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
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·4 min
Is the 748-Episode AI Large Language Model Tutorial on Bilibili Worth Watching? A Full Breakdown of Content Structure and Study Tips
In-depth analysis of Bilibili's 748-episode AI LLM tutorial covering RAG, Agent, and fine-tuning. Includes content structure breakdown and practical study tips for beginners.
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·3 min
Agent Harness: A New AI Agent Paradigm from Prompt Engineering to Execution Environment Orchestration
Deep dive into Agent Harness Engineering: how loop execution and context isolation overcome the bottlenecks of prompt and context engineering in modern AI coding agents like Cursor.
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·3 min
In-Depth Guide to the Codex Chinese Manual: A Complete Walkthrough from Beginner to Advanced
In-depth breakdown of ByteDance's 198-page Codex Chinese manual covering installation, Commands, MCP workflows, Skills templates, and multi-Agent collaboration.
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·4 min
GitHub AI Weekly: Agent Ecosystem Support Tools Explode onto the Scene
June 2026 GitHub AI trends: Agent ecosystem middleware tools surge — PM Skills, Agent Reach, Graphify, and Skill Spectre signal the Agent middleware era.
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·3 min
Microsoft Copilot Cowork Introduces DeepSeek: Multi-Model Architecture and Enterprise AI Agent Strategy Explained
Microsoft Copilot Cowork launches with multi-model architecture, considering DeepSeek V4 as a low-cost option. Deep dive into usage-based pricing, WebIQ search, and Microsoft's enterprise AI agent strategy.
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·4 min
A Practical Guide to Loop Engineering: Pain Points and Solutions in Automated AI Coding Workflows
Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.
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·3 min
Harness AI Engineering Programming: A Practical Guide for Enterprise-Level Project Implementation
A deep dive into Harness AI engineering programming, covering SDD, Agentic Scale development, and practical solutions for enterprise AI coding challenges.
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·3 min
Gemini 5.2 in Claude Code: Real-World Testing — Does It Crush Opus on Cost-Effectiveness?
Real-world testing of Gemini 5.2 in Claude Code vs Opus across web design, coding, creative tasks, and Storm research — analyzing the open-source model's cost advantage and ideal use cases.
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·2 min
CC Switch Configuration Guide: Complete Tutorial for Using Claude Code and Codex in China
Learn how to configure Claude Code and Codex in China using CC Switch, including model setup, API Key configuration, and local routing to fix format incompatibility issues.
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·3 min
Claude Code Deep Dive: Why Full-Project Context Understanding Crushes Other AI Coding Assistants
In-depth comparison of Claude Code vs Copilot, Cursor, and Trae. Analyzing Claude Code's advantages in full-project context understanding, automated debugging loops, and code accuracy.
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·2 min
OpenCode In-Depth Review: Hands-On with a Free Open-Source AI Coding Assistant
In-depth review of OpenCode, an open-source AI coding assistant. Covers its three-layer architecture, setup, building a to-do app, and model comparisons with DeepSeek Flash and more.
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·4 min
AI Engineering in Practice: The Right Way to Build Enterprise Projects with Claude Code
Learn how to use Claude Code with Specification-Driven Development (SDD) to build enterprise projects, solving common AI coding pitfalls like infinite bug loops, code quality issues, and hallucination risks.
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·3 min
Andrew Ng and Anthropic's Definitive Claude Code Tutorial: A Deep Dive
Andrew Ng and Anthropic launch a Claude Code course covering context management, parallel sessions, MCP server integration, and hands-on projects in RAG, data analysis, and Figma-to-code conversion.
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·3 min
MiniMax M3 Code Test: How Does It Stack Up Against DeepSeek?
Real-world comparison of MiniMax M3 vs DeepSeek in code generation through HTML game development and admin system scaffolding tests. M3 excels in first-generation quality and prompt comprehension.
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·2 min
4 Steps to Simulate the Claude Fable 5 Workflow Using System Prompts
Learn how to simulate the Fable 5 workflow in Claude Code using system prompts: download the prompt file, configure your project, launch safely, and switch to Opus model.
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·2 min
Qwen3-Coder Deep Dive: A Coding Model Built for Long-Horizon Agent Loops
Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.
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·2 min
Claude Code Best Practices Course: The Agentic Programming Guide Recommended by Andrew Ng
DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
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·4 min
Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches
A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.
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