#SOLID principles
703 related articles
·3 min
Complete Cursor Tutorial: Core Advantages and Use Cases of the AI-Native Programming Tool
In-depth analysis of Cursor's five core features as an AI-native programming tool, comparing six key differences with traditional IDEs, covering intelligent code generation, context awareness, and multi-model support.
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·3 min
Cursor Programming Tool Deep Dive: Core Advantages and Usage Guide for This AI-Native IDE
A comprehensive analysis of Cursor AI programming tool's core features including intelligent code generation, context awareness, and multi-model switching, with a six-dimension comparison to traditional IDEs.
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·2 min
Getting Started with AI Agent Development: A Three-Stage Learning Roadmap Explained
A complete roadmap for learning AI Agent development from scratch. Covers Python basics, LLM concepts, five core capabilities, mainstream frameworks, and RAG knowledge base projects.
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·2 min
Deep Comparison of Four Major Message Queues: How to Choose Between Kafka, RocketMQ, RabbitMQ, and ActiveMQ
In-depth comparison of Kafka, RocketMQ, RabbitMQ, and ActiveMQ across throughput, persistence, multi-language support, and more to guide your MQ selection.
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·1 min
AI Agent Development Learning Path: Breaking Down Core Competencies from Concept to Production
A deep dive into the core competency matrix for AI Agent development, covering task planning, tool orchestration, and memory management with practical guidance from learning to production.
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·2 min
Old-School Coding: What It Was Like to Build Projects by Hand in the Pre-AI Student Days
Reflecting on the pre-AI student era of hand-coding projects from scratch. A lyrics sync app built over two weeks shows how old-school coding built deep skills.
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·2 min
The Golden Age of the Early Internet: What Did We Really Lose?
From GeoCities homepages to algorithmic filter bubbles, the early internet's spirit of openness and creativity is fading. Can the AI era bring it back?
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·3 min
AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing
A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.
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·4 min
The Complete AI Programming Workflow: An Efficiency Revolution from Codex to Ghost
A deep dive into an indie developer's AI programming workflow, covering Codex, Ghost database management, Create Skills context system, and MCP servers for maximum efficiency.
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·4 min
Claude + Trae IDE with Yakit: Automated Penetration Testing via MCP in Practice
Learn how to use Claude LLM with Trae IDE and MCP protocol to orchestrate Chrome browser and Yakit for automated penetration testing, covering setup, agents, and vulnerability detection.
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·4 min
Cursor Programming Tool In-Depth Review: Core Features and Use Cases of an AI-Native IDE
In-depth review of Cursor's four core features: AI-native design, smart code generation, context awareness, and multi-model support, with a six-dimension comparison against traditional IDEs.
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·4 min
MCP Hands-On Tutorial: Using AI to Automate Reverse Engineering of JS Encryption Algorithms
A detailed guide on MCP protocol setup and hands-on workflow showing how AI can automatically locate encrypted APIs, analyze obfuscated JS, set breakpoints, and restore sign algorithms to generate Python scraper code.
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·2 min
Three Key Narrative Threads Behind Siri's Reboot
Apple's Siri is undergoing its biggest reboot ever. Tim Cook sets AI strategy, Craig Federighi leads integration, and Mike Rockwell rebuilds Siri from the ground up.
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·1 min
Pi Agent: When Every AI Coding Framework Is Adding More, It Chose to Subtract
Deep dive into Pi Agent's minimalist design: no sub-agents, no MCP, no background tasks—yet its self-extending Harness makes it ideal for building AI coding products.
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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
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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·3 min
CreateNow Controlled Development in Practice: Getting AI to Write Code Requirement by Requirement
Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.
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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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·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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·4 min
The Five-Tier Pyramid of IT Careers in the AI Era: Your Position Determines Your Career Ceiling
AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
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