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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.

Is GPT Pro carpooling or account top-up really reliable? This article analyzes the risks of low-cost sharing including account security, privacy leaks, financial loss, and compliance issues.

In-depth comparison of five AI Agent code execution sandbox solutions—E2B, Daytona, Modal, Cloudflare Sandbox, and Vercel Sandbox—across isolation, cold start latency, state management, and pricing.

Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.

In-depth comparison of Codex APP vs. Claude Code and Cursor: pricing, stability, and capability differences. Discover Codex's unique strengths in frontend UI development and how to choose the right AI coding tool.

Complete guide to Dify's four core modules (Explore, Studio, Knowledge Base, Tools) with step-by-step Docker self-hosted deployment instructions for building production-grade AI apps.

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 use OpenAI Codex without phone verification by logging in via Codex CLI with an Access Token. Three simple steps: install CLI, get Token, login.

A systematic AI Agent development learning roadmap covering LLM fundamentals, ReAct paradigm, memory & tool calling, and multi-agent collaboration across four stages with project suggestions.

Deep dive into the AI Skills system architecture and execution flow, covering Skill.md dual-layer design, skill scanning and matching, on-demand loading, and practical integration methods.

ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.

Three essential MCP servers for embedded development: Debugger MCP, VS Code MCP Server, and Zephyr Official MCP — solving AI coding pain points like missing syntax checking and documentation access.

The Yongnuo YN433 II is a $399 M4/3 streaming camera with a Sony sensor and all-metal body, but its Android implementation is disastrous with broken manual controls and erratic white balance.

OpenAI launches an open source vulnerability detection initiative using LLM technology to help the open source community find and fix software vulnerabilities, competing with Google and Microsoft in AI security.

Deep learning lane detection algorithm that simplifies dense segmentation into efficient grid classification, achieving 300+ FPS real-time inference with row selection, Focal Loss, and expectation-based localization.

Deep dive into NVIDIA ACE Game Agent SDK's integration with Unreal Engine 5, exploring how on-device AI inference enables low-latency, privacy-safe intelligent NPC dialogue and behavior.

Deep dive into Sakana AI and NVIDIA's latest research using TwELL sparse packing format and custom CUDA kernels to convert LLM sparsity into real GPU speedups, achieving 20%+ faster inference/training and significantly lower memory usage.

Step-by-step guide to installing Claude Code and configuring it with Chinese models like DeepSeek for low-cost vibe coding, including Node.js setup and CCSwitcher usage.

Learn Git from scratch and master the 6 most essential commands for AI-assisted programming. Solve the pain of AI breaking your code with proper version control.

In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.