88 related articles

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.

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.

Master full-stack AI development with Vercel: from LLM, RAG, and vector embeddings to AI SDK, AI Gateway, and v0 — build production-ready AI web apps end to end.
Tech FrontiersAnthropic upgrades Claude's Slack integration with multiplayer collaboration, proactive responses, and persistent memory — transforming AI from a passive tool into a true team partner.

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.

A systematic guide to advanced Claude Code usage covering context management, plan mode, parallel development, and security — transforming your AI coding assistant into a virtual architect.

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.

In-depth review of Illusion Code CLI AI coding assistant: 34+ core tools, 7 specialized Agents, three permission modes, and Chinese ecosystem support, compared with Claude Code, Codex, and OpenCode.

Deep dive into GitHub Copilot SDK: Agent Loop, Hooks lifecycle control, Custom Agents orchestration, Skills modules, and local model integration for AI app development.

Real-world testing of Claude Code plugin Ponytail: YAGNI decision ladder dramatically reduces AI-generated code, cutting costs 47%-77% with weather dashboard comparison and benchmark analysis.

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.

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.

A deep dive into Pi, a minimalist AI coding Agent framework covering multi-model support, extensions, skill loading, and hands-on custom extension building with model mixing strategies.

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.

Learn how to use Claude Code Remote Control to manage AI coding sessions from your phone. Covers setup, voice input, multi-project management, and security best practices.

Cursor's code review Agent (Bugbot) gets a major upgrade: 3x faster, 22% cheaper, 10% better bug detection. Explore the improvements, the /review command, and the AI code review landscape.