119 related articles

Claude Code creator Boris shares advanced tips: code Q&A, CLAUDE.md context management, parallel workflows, shortcuts, and expert-level practices.

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.

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.

A detailed look at the Claude Code Chinese handbook on Feishu, covering setup, domestic LLM integration, commands, and templates for users in China.

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.

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.

A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.

A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.

A detailed guide to AI-driven automated testing: from Python basics to PyTest, covering API automation, Playwright UI testing, and AI-assisted coding for beginners.

How can non-CS graduate students use AI tools like Cursor to efficiently complete their thesis? A complete guide covering data sourcing, code adaptation, and AI-assisted modifications.

A detailed Claude Code Chinese manual covering installation, core commands, hands-on demos, and troubleshooting to help developers quickly master this AI coding tool.

Andrew Ng partners with Google on a Gemini CLI course covering installation, context engineering, MCP server integration, and automation workflows with hands-on projects.

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.

Complete guide to Claude Code from installation to deployment, covering token cost optimization, CCSwitch setup, prompt engineering, Skills, MCP integration, and a Financial Manager App case study.

A proven methodology for AI-powered Chrome extension development: design UI panels with AI, generate code from mockups, and debug efficiently using the extension console.

A detailed Chinese practical guide for Claude Code covering installation, domestic model integration, code development, copywriting, data analysis, and more to help you master this AI programming tool.

Exploring the capability anxiety behind AI coding tool dependency. Analyzing the paradox of short-term efficiency vs. long-term skills, with strategies for developers to stay competitive in the AI era.

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.

Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.

A complete guide to Claude Code covering installation, configuration, alternative model setup, code generation, bug fixing, and non-programming productivity use cases for beginners.