Focused on hardcore practical AI technologies (OpenClaw, ClaudeCode, LLMs, etc.) and HarmonyOS development. No hype—just real-world tips, pitfall chronicles, and productivity tools. Follow to transform workflows with code.
Claude HUD adds a real‑time status line to Claude Code, showing model, context usage, token breakdown, Git status, and agent activity, helping developers avoid information blind spots and manage usage quotas efficiently.
This guide explains how to install and configure the WeChat ClawBot plugin that connects the OpenClaw AI agent to WeChat, covering prerequisites, one‑click and manual installation steps, core features like multi‑account support, context isolation, input‑status hints, and practical use cases.
This guide shares Anthropic’s internal experience with Claude Code Skills, categorizing nine common skill types, offering practical tips for design, documentation, hooks, data storage, distribution, and measurement, so developers can build reusable, high‑impact AI extensions efficiently.
This guide explains how to combine Git worktree with Claude Code to run multiple independent bugs or features in parallel, showing concrete examples, templates, best‑practice tips, common pitfalls, and measurable time‑saving results for developers seeking faster, more efficient workflows.
This guide explains how Claude Code Hooks can automatically run git status, dependency checks, linting, testing and other routine commands when you open a project, edit files, commit code, or perform risky operations, turning repetitive manual steps into a smooth, error‑free workflow.
This guide explains why pre‑made Claude Code Skills often miss the mark, compares custom Skills with existing ones, and provides a detailed, hands‑on process—including file structure, YAML front‑matter, code snippets, installation commands, testing, and iterative optimization—to help you create a Skill that perfectly matches your workflow.
This guide explains why a single CLAUDE.md file becomes unwieldy, shows how to split rules into a .claude/rules directory, configure path‑specific rules, share rules via symlinks, and leverage Claude's automatic memory to let the AI learn from your workflow without manual edits.
This article explains how Claude Code’s Prompt Caching technique dramatically reduces latency and cost for long‑running AI agents, and shares five hard‑won engineering practices—including prompt layout, message‑based updates, avoiding mid‑conversation model or tool changes, and safe context forking—to help developers build efficient, cache‑friendly AI applications.
The article analyzes Andrej Karpathy’s introduction of “Claw” as a new AI‑agent layer, explains its architecture, rapid industry adoption, the shift toward mutable codebases, local deployment benefits, and how these trends reshape software engineering principles in the AI era.
This step‑by‑step guide shows how to deploy OpenClaw on an Alibaba Cloud ECS instance, replace its default model with GLM‑4.7, configure a Feishu bot, and verify a continuously running AI assistant that can handle code, web browsing, and system tasks.
