103 related articles

Tired of staring at a terminal waiting for AI? An ESP32 + RGB light maps Claude Code's states to blue/yellow/green/red physical light effects. See what the AI is doing at a glance.

As Claude Code, Cursor, and Codex enter enterprises at scale, policy enforcement guardrails are becoming critical. A deep dive into AI coding tool security governance, cross-platform compliance, and enforcement mechanisms.

no-mistakes is an open-source tool that runs AI code review, lint checks, and unit tests before git push — with auto-fix support, so every PR arrives clean.

A deep dive into Harness Engineering — the third phase of AI coding. Based on research across 2,853 GitHub repos, explore agents.md, Skills, MCP, and eight configuration mechanisms to control your AI coding assistant.

An in-depth hands-on review of Zhipu AI's flagship GLM-5.2: 1M-token context, strong coding, mature agent workflows—at one-fifth the price of top frontier models. Covers website testing, Cursor integration, MCP tooling, and production migration.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

Deep dive into Claude Code's major new updates: Remote Control for session takeover, Auto Mode to reduce interruptions, multi-agent code review, Auto Memory, and Routines for cloud automation workflows.

"Claude Fable 5" doesn't exist. This guide exposes the AI scam's core red flags: fake version numbers, fabricated demos, "no-VPN China access" lies, and traffic funnel tactics.

Deep dive into OpenHands Agent Canvas: not another AI coding assistant, but a unified control plane for managing Claude Code, Codex, and other AI Agents with automated workflows and self-hosted deployment.

OpenAI Codex launches Record & Replay and third-party model integration, supporting Claude, Gemini and private models, transforming from a coding tool into an open AI workflow platform for enterprises.

A systematic breakdown of the four stages of AI engineering: Prompt Engineering, Context Engineering, Runtime Environment Engineering, and Loop Engineering — with core logic, bottlenecks, and real-world use cases.

Explore the three paradigm shifts in LLM interaction: from ChatGPT as a website, to desktop apps, to autonomous AI team members that collaborate asynchronously with humans.

CLI-WeChat-Bridge is an open-source tool that bridges AI CLI tools like Codex, Claude Code, and Open Code to WeChat, supporting voice input, file transfer, and multi-CLI parallel switching.

A comprehensive guide to Claude Code Skills and MCP resources, covering international platforms like Skills.mp and Smithery plus Chinese alternatives, with a quick selection guide to boost AI coding productivity.

Karpathy's Claude Code methodology: build a self-evolving AI environment using CLAUDE.md, knowledge bases, Skills, and Hook guardrails for compounding efficiency.

Learn how to use NetEase UU Accelerator to speed up Cursor AI coding tool in China, with step-by-step setup including node selection and launch configuration.

Deep breakdown of the new book on Claude Code engineering, covering Harness concepts, four-layer architecture, five-layer memory, sub-agents, hooks, MCP protocol, and CI/CD integration.

Planning with Files uses three Markdown files and Hooks to solve the context loss problem in AI coding tools like Claude Code and Cursor during long tasks.

Hands-on review of Moonshot's open-source Kimi Code terminal AI coding tool, covering one-command installation, Ink framework architecture, VS Code plugin mode, and comparisons with Claude Code and Gemini CLI.

Deep dive into OpenAI Codex's three-layer architecture: CLI local Agent, cloud sandbox async execution, and Codex App multi-Agent orchestration command center.