A ubiquitous public account for pirate enthusiasts, regularly sharing curated experiences, tech learning, and growth insights. Currently publishing articles on AI RAG customer service, AI MCP technology, and open-source design. Personal free Knowledge Planet: Awakening New World Programmer.
This article walks through configuring OpenClaw as a personal AI infrastructure, covering session isolation, multi‑agent and Feishu bot setups, exposing a standard OpenAI‑compatible API, and automating tasks with custom skills and scheduled jobs.
Deploying OpenClaw on an internal Ubuntu 22.04 server exposed a prompt‑injection flaw that let colleagues trigger shutdown and data‑deletion commands, prompting a step‑by‑step hardening process that includes removing default bindings, editing gateway settings, and defining strict security prompt templates.
This guide walks through four practical experiences with OpenClaw—daily maintenance commands, using the AI assistant to install Feishu skills, automating MCP Server deployment via the mcporter skill, and switching to free ZhiPu models to cut costs—while highlighting security and cost considerations.
This article walks through installing the open‑source OpenClaw AI assistant on a MacBook (or cloud server), configuring it with the MiniMax model and Feishu, enabling 24‑hour remote control, local memory, data sovereignty, and thousands of ready‑made skills, while highlighting setup commands, security considerations, and cost factors.
The article analyzes three Redis inventory‑deduction locking strategies—exclusive lock, segmented lock, and lock‑free/key‑quantization—detailing their key structures, suitable scenarios, advantages, drawbacks, and also covers Lua‑script atomic decrement, async queue buffering, and local pre‑deduction techniques.
This tutorial walks through using Google’s Gemini‑based NanoBananaPro model to generate LINE‑style Q‑version stickers, split the images with an online tool, and submit them to the WeChat Sticker Open Platform, covering prompt design, copyright considerations, JSON specifications, and review feedback.
This tutorial walks through integrating the AI Hub client with a TypeScript‑based code review engine, adding a UI button in a Vue component, handling loading states, previewing MergeRequest data, and wiring the backend calls to GitLab and the AI model, complete with code snippets and screenshots.
The article explains why programmers should maintain a structured demand pool—recording, classifying, and tracking all tasks—to overcome memory limits, improve execution, boost responsibility, and communicate progress effectively, outlining a three‑layer hierarchy (demand → task → todo) and practical habits for daily, weekly, and periodic upkeep.
The article presents detailed prompt structures for AI‑generated comics, showcasing two complete examples with character definitions, visual styles, panel narratives, and dialogues, enabling readers to replicate and customize the process for creating their own AI‑driven comic strips.
This article introduces Google DeepMind's NanoBananaPro model, details its advanced text rendering, 4K resolution and multi‑entity consistency, compares four access methods (student account, API proxy, Taobao services, AI product bundles), and provides step‑by‑step prompt engineering examples and visual results.
