Author of the rpcx microservice framework, original book author, and chair of Baidu's Go CMC committee.
The article analyzes how AI agents have transformed software engineering over the past three years, redefining programming from hand‑written code to prompt‑driven development, and argues that engineers must shift from writing code to orchestrating intelligent agents to stay relevant.
The article introduces the open‑source /smell skill, an AI‑powered code‑analysis tool that scans a codebase, identifies architectural anti‑patterns, code‑level smells, and performance hotspots, and generates a detailed markdown report with severity rankings and refactoring suggestions.
The article introduces Matt Pocock's open‑source "skills" collection for AI coding agents, shows how it embeds traditional engineering practices such as alignment, domain modeling, TDD, and architecture governance into reusable command sets, and walks through a complete partial‑refund feature implementation using these skills.
In late April and early May 2026 three leading AI coding assistants—OpenAI's Codex CLI, Anthropic's Claude Code, and Nous Research's Hermes Agent—released a /goal command that shifts agents from simple Q&A tools to autonomous goal‑driven systems, prompting a detailed technical comparison and a re‑examination of the developer's role.
The article examines the tedious post‑writing workflow of WeChat public‑account articles and shows how wxeditor reorganizes the entire process—three‑pane editing, synchronized preview, theme management, enhanced code blocks, image handling, and auto‑saving—making it a must‑have tool for frequent creators.
This article analyzes how the AutoResearch method pioneered by Andrej Karpathy was adapted to software development, detailing three key enhancements—multi‑agent cross‑review, a five‑dimensional scoring system, and feedback‑driven iteration—that enable a fully autonomous pipeline capable of completing a medium‑complexity issue in about ten minutes with a 9.0/10 code quality score.
This comprehensive guide walks you through 45 practical Claude Code techniques—from customizing the status bar and mastering slash commands to using Git worktrees, managing context, automating tasks with containers, and leveraging plugins—providing concrete examples, code snippets, and step‑by‑step workflows that let you harness the full potential of Claude Code in real‑world software development.
This guide walks through installing Termux, Ubuntu, and OpenClaw on a Xiaomi Android phone, configuring developer options, connecting via ADB, installing the burner‑phone skill, capturing screenshots, and attempting click actions, while highlighting limitations when click debugging is unavailable.
This guide walks through two practical approaches—Skill and Prompt—to configure OpenClaw for automated RSS aggregation, AI‑driven filtering, summarization, and channel delivery, comparing their setup steps, code examples, advantages, limitations, and when to choose each method.
The article walks through how the author refactored the Go‑based AI assistant GoClaw by leveraging Claude Code's Agent Teams feature, detailing the motivation, architecture comparison, configuration steps, team role assignments, and practical tmux integration to achieve a more modular and reliable agent module.
