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Step-by-step guide to installing and configuring Claude Code, covering Git/Node.js prerequisites, environment variables, and connecting domestic LLMs to build an AI assistant that reads, writes, and executes code.

In-depth comparison of Codex vs Claude Code across pricing, stability, and capability focus—analyzing differences in frontend UI and backend logic development with workflow recommendations.

Former ByteDance engineer Guo Yu analyzes the AI Agent revolution: how Claude Code's Skill feature signals the end of traditional software, the SaaS collapse, and the future of knowledge workers.

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.

A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.

Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.

A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.

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

A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.

Deep dive into global variable pool design for AI Agent development, covering three memory types, variable scoping, node execution architecture, and placeholder variable replacement workflows.

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.

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.

Deep dive into the Skill mechanism in AI coding: definition, purpose, and usage. Learn how Skills differ from Agent Constitutions and enable AI to follow professional workflows for tasks like debugging, code review, and requirements analysis.

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

Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.

A deep dive into the four stages of AI coding tool evolution: from code completion and chat Q&A to Agentic Coding and multi-Agent collaboration, explaining the design logic behind Claude Code, Cursor, and Codex.

KeyType is a free, MIT-licensed macOS tool for system-level AI text completion. It runs local LLMs, supports custom models, and keeps all data on your device.

A deep dive into Cursor AI's complete project development workflow, covering standardized prompts, UI design, code generation, and LangChain agent building.

Deep analysis of AI Super Week's four themes: Alphabet's $80B raise and Anthropic's IPO ignite capital markets, OpenAI Codex drives the Agent work revolution, Florida's first AI lawsuit sounds safety alarms, and China's WeChat Agent charts a differentiated path.

OpenAI confirms a system bug caused wrongful account suspensions. Codex, ChatGPT email, Gemma 4 quantized, Cursor Design Mode, and more AI tools receive major updates.