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Step-by-step guide to connecting DeepSeek and other domestic AI models to Claude Code Desktop — covers no-account setup, CC Switch config, Chinese localization, and custom Skills.

Learn Claude Code from scratch: understand LLMs vs. AI agents, explore a 3-day onboarding path, and discover how testing engineers can use agents to automate test case and script generation.

A deep dive into Claude Code's core strengths: agentic coding, full project context, and auto-debugging — compared against Cursor, Trae, and Codex to help developers choose the best AI coding tool.

No ChatGPT Plus? No problem. Learn how to use Codex with DeepSeek via Codex++ — full setup guide covering API Key, provider config, and billing for China-based developers.

Redis creator runs 284B-parameter DeepSeek model on a MacBook Pro at 26 tokens/sec using a pure C engine, asymmetric quantization, and MoE architecture.

Vibe Coding lets non-programmers build web apps using natural language and AI agents. Learn Claude Code, model selection, cost control via cache optimization, and agentic engineering.

Why do banks and hospitals build Local AI instead of using cloud services? This guide covers the full tech stack — Ollama, RAG, vector databases — and real-world enterprise deployment use cases.

No ChatGPT account? Learn how to configure DeepSeek as Codex's underlying model using the Codex++ Manager tool — a practical guide for users in China.

The Codex Orange Book is an open-source unofficial guide with 2.5K+ GitHub Stars, covering installation, plugins, MCP extensions, and hands-on projects to help beginners master AI programming tools.

Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.

A systematic guide to OpenCode, the open-source terminal AI coding tool: installation methods (including WSL), model configuration, rules files, Agent types, custom commands, and MCP tool extensions.

Step-by-step guide to deploying Dify locally using BT Panel, covering VM setup, Ubuntu configuration, and Docker deployment for a private AI dev platform.

Learn how to build an AI-driven API automation testing framework using Agent+Skill architecture with Claude Code, covering test case generation, script execution, and report output.

Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.

How to build a local AI inference server with 4 used RTX 3090 SXM4 GPUs to run GLM-5.2 via Llama.cpp and Unsloth IQ quantization, with real benchmarks on speed and quality.

A complete guide for frontend developers advancing to AI architects, covering the three-tier competency framework, Codex-like agent design, agents.md configuration, Skills systems, and core AI architect capabilities.

Complete guide to installing and using Kimi Code: covers video understanding, multi-model switching, real-time data queries, and Swarm batch processing, with a detailed comparison to Claude Code.

A systematic three-phase AI LLM career transition roadmap: from Transformer fundamentals to RAG, Agent & LangChain development, to LoRA fine-tuning. Build enterprise-ready skills in two months.

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

Real-world coding tests compare MiniMax M3 vs Cursor Composer 2.5 across three tasks. At 1/765th the price of Claude Opus, M3 delivers better code quality, tests, and project structure.