Advanced AI Application Practice
The article examines how technology and business teams can align their objectives, explaining why fast implementation, change responsiveness, and rapid delivery must be balanced with quality, measurable metrics, and clear scope to support stable, profitable operations.
This short guide shows a regular‑expression rule for Fiddler that blocks common static resources such as CSS, JavaScript, images, icons and audio files, and provides a link to a Chinese‑language Fiddler localization package.
The article explains why Linux skills are vital for testers, shows how to set up a practice environment using virtual machines, WSL or cloud servers, recommends free SSH tools, and provides detailed examples of essential directory, file, editing, and viewing commands.
This article shows how a concise 10‑line shell script, created with ChatGPT, can continuously capture MySQL QPS, TPS, and connection counts and append the metrics to a log file for performance monitoring.
This article walks through the step‑by‑step implementation of alignment functions—left, center, right, top, middle, and bottom—in a graphics editor by computing AABB boxes, deriving a mixed bounding box, and applying concise JavaScript loops to adjust element positions.
A good test engineer should be meticulous, logical, communicative, stress‑resilient, eager to learn, collaborative, and responsible, as these traits together ensure high‑quality testing and effective teamwork during tight schedules and changing requirements.
This article shares a concise 10‑line Bash script, generated by ChatGPT, that captures MySQL QPS, TPS, and connection counts, timestamps each record, and appends the metrics to a log file for easy performance monitoring.
The article shows a straightforward Python + Selenium script, generated by ChatGPT, that logs into a website and verifies pagination, illustrated with code screenshots and brief commentary on the author’s experience finding the problem on Zhihu.
This article presents a concise 10‑line Bash script, generated by ChatGPT, that gathers key Linux system metrics such as CPU, memory, disk usage, load average, network connections, log size, uptime, logged‑in users, process count, and current time.
The article outlines three common pressure‑testing challenges—how to extract test points, how to obtain realistic target metrics, and how to design test strategies—then demonstrates single‑scenario load, mixed‑business load, and long‑duration stability tests using JMeter with stepwise thread ramp‑up and metric analysis.
