#SOLID principles
710 related articles
Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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Industry Insights·3 min
Career Switching to AI with Zero Background: Is a Three-Month Fast Track Really Feasible?
In-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.
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Research·4 min
Deep Dive into Claude Code's Open-Source Architecture: The Design Philosophy Behind 510,000 Lines of Code
Deep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
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Tutorials·3 min
Frontend AI Full-Stack Development in Practice: Building Multimodal Applications with PNPM MonoRepo Architecture
A practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.
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Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Tutorials·3 min
Getting Started with FastAPI: A Comprehensive Guide to Frontend-Backend Separation and RESTful API Core Concepts
A systematic guide to core concepts for FastAPI beginners, covering frontend-backend separation architecture, RESTful API design, and JSON data format advantages for Python developers.
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Tutorials·3 min
Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap
Deep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Claude Code Plugin System Explained: Four Core Components Building an Extensible Development Platform
Deep dive into Claude Code 2.0.14's plugin system covering Slash Commands, Sub-agents, MCP integration, and Hooks—with demos on one-click plugin installation and custom code review plugin creation.
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Tutorials·3 min
110 Hands-On Embedded Linux Projects: From Beginner to High-Paying Driver Development
A complete hands-on checklist of 110 embedded Linux projects covering audio/video, Rockchip platforms, smart home, and driver development — with clear learning paths from beginner to high-paying roles.
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Industry Insights·2 min
Two Major Career Paths in AI Large Language Models: Engineering Implementation vs. Algorithm Research
In-depth analysis of two core AI LLM career paths: engineering implementation vs. algorithm research. Compare education requirements, skills, and job prospects for programmers transitioning to AI.
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Tech Frontiers·4 min
Anthropic Source Code Leak: Unreleased Model Codenames and Hidden Features Deep Dive
Anthropic's Claude Code source code leaked via Source Map files, exposing the million-token Capybara model, Opus 4.7/Sonnet 4.8, undercover mode, and hidden features like Buddy, Kairos, and Dream.
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Tech Frontiers·3 min
DeepSeek TUI: A Terminal AI Coding Assistant Built in Rust with 2.3K GitHub Stars
DeepSeek TUI is an open-source terminal AI coding tool written in Rust, optimized for DeepSeek API, dubbed Claude Code for DeepSeek. Plus: AI joint ventures, Sierra's $950M raise, and AWS Agent infrastructure updates.
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Tutorials·3 min
Review of a 648-Episode Complete Python Tutorial: Is It Worth Learning from Zero to AI Applications?
In-depth review of a 648-episode Python tutorial on Bilibili, analyzing its three-stage course structure, resource quality, and learning effectiveness with practical study tips for beginners.
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Product Reviews·3 min
Zion No-Code Platform Hands-On: Building a Production-Ready E-commerce Mini Program from Scratch Without Writing a Single Line of Code
Hands-on review of Zion no-code platform: building a production-ready e-commerce mini program from scratch with visual design, built-in database, workflow orchestration, AI Agent integration, and one-click multi-platform publishing.
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Tech Frontiers·2 min
Step 3.7 Flash: Deep Dive into the 198B Sparse MoE Multimodal Model
Deep dive into StepFun AI's Step 3.7 Flash, a 198B sparse MoE vision-language model with 256K context and 3-level reasoning, excelling in multimodal understanding, AI coding, and Agent tool orchestration.
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Product Reviews·3 min
Real-World Coding Test of 13 Top AI Models: Who Is the Best Programming Assistant?
Benchmark of 13 top AI models including GPT-4.1, Claude 3.7 Sonnet, and Gemini 2.5 Pro on coding ability, scored across 8 dimensions using the same high-difficulty algorithm problem.
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