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Deep dive into Claude Code + Harness AI engineering methodology, covering tech stack selection, enterprise e-commerce implementation, task decomposition, and Prompt templatization.

A detailed review of domestic Chinese platforms offering no-registration, no-VPN access to GPT-4, Gemini, Claude, DeepSeek and other top AI models, with security risk analysis.

A four-stage learning path for AI LLM application development: from Python basics and RAG architecture to Agent cluster orchestration, helping developers transition into AI roles.

Deep dive into Spring AI Alibaba Agent framework covering core architecture, tool calling, RAG integration, multi-agent collaboration, and production deployment for Java developers.

A hands-on Vibe Coding walkthrough using Qwen 3.7 Max and CoderWork to build gesture-controlled 3D particle systems and retro camera filters with zero code.

Complete Ollama guide: install and run open-source LLMs like DeepSeek, Llama, and Qwen locally on Windows/Mac/Linux. Free, private, and beginner-friendly.

A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.

Complete guide to deploying Claude Code with CC Switch proxy to connect DeepSeek V4 Pro — no overseas account needed. Covers Node.js, VS Code, and API setup.

Step-by-step guide to installing Claude Code, connecting domestic LLMs like Qwen, DeepSeek, and Xiaomi MiMo via CC Switch, with hands-on demos of batch file processing and e-commerce site development.

A deep dive into LLM selection for LangChain and MCP agent development, comparing DeepSeek V3/R1 vs Qwen3 on Function Calling and MCP support with practical tips.

Complete Claude Code setup guide covering installation, environment configuration, IDE integration, model selection, and comparisons with Cursor, Trae, and other AI coding assistants.

A deep dive into Harness Engineering methodology — from Prompt Engineering to Context Engineering to Harness Engineering — covering enterprise setup, Skill systems, and pipeline-style AI programming.

How can frontend engineers transition to AI Agent development? A systematic 3-month roadmap covering AI concepts, model selection, team productivity, and Agent architecture.

A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.

A comprehensive guide for Java developers transitioning to AI application development, covering Spring AI, RAG, Function Calling, and a hands-on airline intelligent customer service project.

A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.

A deep dive into Harness Engineering for AI programming, from concept to implementation. Build an enterprise Java e-commerce system using Claude Code with Skill-driven AI development pipelines.

A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.

Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.

Learn how to set up Claude Code with affordable Chinese AI model alternatives. Use providers like SiliconFlow and DeepSeek starting from just ¥7.9, with full environment variable configuration guide.