#SOLID principles
710 related articles
·3 min
OpenAI Reveals Its AI Policy Stance: Why Transparency Matters
OpenAI publicly outlines its AI policy stance and advocacy approach. This article analyzes the logic behind transparency, the challenges of tech policy lobbying, and implications for AI regulation.
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·3 min
A Three-Month Roadmap to LLM Development: A Deep Dive into the Learning Path from Zero to Freelancing
A deep dive into the three-step LLM development learning path: from prompt engineering and RAG knowledge bases to AI Agent development, with realistic timelines for beginners and experienced developers.
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·3 min
AI Large Language Model Learning Roadmap: A Systematic Path from Zero to Project Implementation
A detailed AI LLM learning roadmap covering Transformer architecture, Prompt Engineering, RAG, Agent development, model fine-tuning & deployment, with enterprise project guides.
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·4 min
AI Agent Systematic Learning Path: From Zero to Independent Development
A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.
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·4 min
AI Agent Development: A Complete 6-Week Systematic Learning Roadmap
A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.
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·4 min
What Is Google WebMCP? A Deep Dive into the New Standard for AI Agents to Directly Invoke Web Functionality
A deep dive into Google WebMCP (Web Model Context Protocol): how it works, its technical implementation, and use cases. Learn how WebMCP lets AI Agents directly invoke web tools.
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·3 min
AI Can't Kill Old-School Programming: Why Fundamentals Are Still a Developer's Moat
Vibe Coding is trending, but can it replace solid fundamentals? A deep analysis of why core principles, systems thinking, and knowledge frameworks remain a developer's moat in the AI era.
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12 Practical Tips for Vibe Coding with Trae SOLO: From Getting Started to Efficient Collaboration
12 practical tips for vibe coding with Trae SOLO covering agent selection, Plan mode, context management, custom rules, and more to build an efficient AI programming workflow.
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·2 min
Nex N2 Pro Real-World Testing: Top 5 on Official Benchmarks, Only 12th in Independent Tests
Deep-dive testing of Nex N2 Pro open-source Agent model comparing official benchmarks vs independent results. The 397B parameter model shows decent frontend generation but ranks 12th independently, not top 5 as claimed.
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·2 min
Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python
Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.
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·3 min
Python Complete Tutorial for Beginners (568 Episodes): In-Depth Course Structure Analysis and Study Tips
In-depth analysis of a 568-episode Python beginner tutorial on Bilibili, covering course structure, strengths, weaknesses, and effective study tips for beginners.
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·4 min
The Complete Guide to Codex Super Agent: From Installation to Multi-Task Parallel Execution
A complete guide to OpenAI's Codex desktop app: installation, Plugins, Skills, Agent.md setup, and multi-task parallel execution for the ultimate AI Agent.
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·3 min
OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice
A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.
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·2 min
Gemini Notebooks Arrives in Europe: Feature Breakdown and Usage Guide
Google Gemini Notebooks is now available to users in the EEA, UK, and Switzerland. Learn about its core features, how it differs from regular chats, and how to get started.
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·3 min
Getting Started with AI Agent Development: A Detailed Three-Stage Learning Roadmap
A complete roadmap for learning AI Agent development from scratch, covering Python & LLM basics, five core skills, and hands-on RAG projects in 1-2 months.
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·4 min
Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready
A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.
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·3 min
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.
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·3 min
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.
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·2 min
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.
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·3 min
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.
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