This guide walks through the end-to-end setup of a WeChat public-account keyword auto-reply, covering the message flow, required server configuration in the WeChat console, and Java servlet implementations for the GET verification and POST message-handling endpoints.
The article defines AI Skill “hard‑core” capabilities versus soft prompt‑based logic, outlines a three‑layer architecture (scripts, metadata, security), and walks through concrete wechat‑publisher implementations—including inline style injection, multi‑template rendering, exit‑code handling, and a step‑by‑step development checklist—to show how to turn AI from a mere text generator into an autonomous executor.
This article explains how to write a Python crawler that uses the WeChat public platform's open API to obtain an access token, retrieve the list of articles from a specified public account, and extract each article's title, summary, and link for further analysis.
This article walks through the design, pitfalls, and deep optimizations of a Node.js + TypeScript backend that periodically syncs enterprise WeChat organization data to a MySQL store and provides a phone‑number lookup API, offering practical solutions for rate limits, process management, database conflicts, and error recovery.
