#DEEP DIVE

326 related articles

2026年6月7日·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.

2026年6月7日·2 min

Claude Code: The Ultimate Beginner's Guide — A Deep Dive into the Open-Source Project That Hit 33K Stars in 3 Days

Deep dive into the viral Claude Code manual on GitHub (33K+ Stars): slash commands, memory system, MCP protocol, Hooks plugins, and how to build a full AI dev team.

2026年6月7日·3 min

Deep Dive into How Claude Code Works: Prompt Assembly, Permission Control, and the Skills Mechanism

Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.

2026年6月7日·2 min

Claude Code Complete Tutorial: Best Practices from Architecture to Parallel Development

DeepLearning.ai and Anthropic's joint Claude Code course covers architecture, parallel development, and MCP server integration. From RAG chatbots to Figma-to-code workflows, master AI coding assistant best practices.

2026年6月7日·3 min

Trae Agent Deep Dive: Hands-On Review of ByteDance's Open-Source AI Coding CLI Tool

Deep dive into ByteDance's open-source Trae Agent—a free MIT-licensed AI coding CLI tool. Covers installation, core features, run modes, and real-world performance vs Claude Code and Gemini CLI.

2026年6月7日·2 min

Will AI Coding Replace Programmers? A Deep Dive into Manufacturing vs. Internet Industry Differences

Will AI coding tools like Claude Code and Codex replace programmers? This analysis compares replacement risks across internet and manufacturing industries with practical career advice.

2026年6月6日·4 min

AI Agent Core Architecture Explained: A Deep Dive into the Four Key Modules — Perception, Brain, Action, and Memory

Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.

2026年6月6日·2 min

MCP Protocol Deep Dive: The Core Mechanism Behind Claude Code's External Tool Connections

Deep dive into the MCP protocol's architecture, server types, scope modes, and context window optimization strategies for configuring Claude Code's external tool connections.

2026年6月6日·2 min

Taste-Skill: A Deep Dive into the AI Aesthetic Prompt Project with 33K GitHub Stars

Taste-Skill is a 33K-star GitHub project that embeds aesthetic rules into AI prompts, helping Claude Code, Cursor, and other AI tools generate better-looking UI.

2026年6月6日·3 min

AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner

A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.

2026年6月6日·4 min

Self-Study Guide to AI Agent Development: A Complete Path from Zero to Production

A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.

2026年6月6日·3 min

LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development

A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.

2026年6月6日·3 min

Deep Dive into Closco: The Research Automation Platform That Goes from Natural Language to Complete Reports

Deep analysis of Closco's research automation platform covering cloud sandbox architecture, self-healing execution, batch computing, and applications in computational materials science, drug design, and genomics.

2026年6月6日·2 min

Why Is AI Progressing Fastest in Coding? A Deep Dive into Four Structural Advantages

AI coding advances faster than writing or image generation due to four structural advantages: instant feedback, GitHub's natural high-quality data, unified quantifiable standards, and perfect fit for reinforcement learning.

2026年6月6日·3 min

The Complete Vibe Coding Tool Landscape: From Cursor to CodeBuddy — How to Choose Among Nine Leading Tools

Compare 9 leading Vibe Coding tools — Cursor, CodeBuddy, Codex, Trae & more. Find the best AI coding assistant for beginners to pro developers.

2026年6月6日·2 min

The Complete Guide to Claude Code: A Practical Deep Dive into AI Programming from Beginner to Expert

Deep dive into Claude Code's core strengths, Prime mode, and interrogative programming. Compare with Cursor and Copilot, analyze AI coding in 0-to-1 vs 1-to-100 scenarios.

2026年6月6日·3 min

vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference

Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.

2026年6月6日·2 min

Cherry Studio: A Deep Dive into the Open-Source AI Productivity Tool with Unified Access to 300+ LLMs

Deep dive into Cherry Studio, an open-source AI client supporting 300+ LLMs including OpenAI, Claude, and Gemini, with autonomous agents and pre-built assistants. Nearly 47K GitHub Stars.

2026年6月5日·2 min

Google Antigravity CLI Launch: Unified AI Development Platform and Gemini CLI Migration Guide

Google launches unified AI platform Antigravity, migrating Gemini CLI users to the new Antigravity CLI rebuilt in Go with multi-agent orchestration and async workflows.

2026年6月5日·2 min

New Gemini macOS Feature: Double-Tap Command Key to Analyze Screen Content

Google launches screen-awareness for Gemini macOS: double-tap Command keys to attach active window content to AI conversations, enabling context-aware help without screenshots.