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The author used an LLM to automate discovery, deduplication, validation, and reporting of OSS domain migrations across 10+ databases, 1,000+ tables, and 100M+ records, completing in ~5 hours what would have taken a team days.
The author details using AI coding tools to build a multi-platform meal planning app (WeChat Mini Program, Android, iOS, web admin) with a Java backend, covering product positioning, tech stack selection, prompt engineering, phased development, acceptance testing, and pitfalls like hallucinations and code quality, concluding that AI accelerates solo development but human judgment remains essential for complex projects.
After deep hands-on use of AI coding tools like Cursor, the author argues that experienced developers who master AI gain a lasting competitive edge: AI handles boilerplate but not system complexity, making judgment and fundamentals more critical for reviewing generated code, while lower development costs expand the software market and create new opportunities.
The author demonstrates how to use Zhipu's GLM‑5.2 via Claude Code and CC Switch to automatically generate a complete WeChat mini‑program, Vue3 admin panel, and Java Spring Boot backend for a diet‑tracking assistant, detailing the prompt design, tool setup, code output, and token usage.
Using AI programming tools, the author built a functional enterprise‑level AI agent platform from zero, detailing the architecture, skill system, prompt design, implementation steps, encountered pitfalls, and open‑source release, while noting that the outcome exceeded expectations.
The article demonstrates how, by prompting the AI‑powered code editor Cursor, a fully functional demand‑mining web application can be created in under three minutes without writing any code, and discusses the tool’s installation, workflow, and practical observations.
This article walks through using Claude Code and DeepSeek V4 to create a full‑stack inventory management system without writing any code, covering installation, model configuration, prompt engineering, step‑by‑step development, Docker deployment, bug fixing, and the total cost of the AI usage.
This guide shows how to convert an unused home computer into a personal cloud storage service by installing Cloudreve, using a public‑IP cloud server and FRP for NAT traversal, configuring both server and client, and optionally enabling P2P mode for faster direct access from any device.
After finding commercial remote tools like Sunflower unreliable, the author evaluates the open‑source RustDesk, explains its self‑hosted architecture, walks through server and client installation on Linux, and shows how it delivers stable, private remote desktop access.
The article argues that AI has shifted from a simple tool to a collaborative partner, urging readers to master prompt engineering, develop their own AI capabilities, and focus on real user needs to stay relevant and avoid being replaced.
