In the era of knowledge sharing, discover 转转QA from a new perspective.
In the AI coding era, traditional test‑after‑code practices cause missed bugs, so a recycling‑service QA team adopts intent‑driven testing, business‑view AI code review, and risk‑focused automation to transform testers into AI‑assisted quality strategists.
The article examines the fragility of Selenium/Appium UI automation, introduces a Skill‑driven, natural‑language approach built on Playwright, showcases a concrete "Edit" button case, and presents measured efficiency gains such as up to 90% faster debugging and maintenance.
This article presents a fully automated, zero‑downtime deployment solution that integrates Jenkins pipelines with a set of shell scripts to handle code checkout, image building, seamless container switching, health checks, rollback, disk monitoring, and resource cleanup, providing a reliable end‑to‑end workflow for fast and stable releases.
This article explains how a ultra‑lightweight project‑management tool built with Feishu bots and Coze transforms manual, memory‑based to‑do lists into dynamic, rule‑driven workflows, detailing the problem, design principles, three‑layer architecture, implementation steps, and real‑world impact on testing teams.
This guide details a step‑by‑step, incremental upgrade of SonarQube from V7.9.6 LTS to V10.7 LTS, covering project background, upgrade value, challenges, strategy, technical implementation, JDK compatibility, plugin migration, multi‑JDK handling, authentication changes, reference‑branch feature, and post‑upgrade results with lessons learned.
This article outlines the design and value of an automated service quality monitoring platform, detailing its core benefits—intelligent detection, automated execution, data‑driven decisions, and precise notifications—along with functional architecture, key modules, code examples, technical requirements, and practical recommendations.
This article explains how a smart, three‑layer JSON alignment algorithm automatically reorders and matches elements to remove false differences caused by array order, delivering high accuracy, low false‑positive rates, and strong performance for backend data comparison tasks.
This article explains how to make QA proactive by mastering pre‑release collective testing, daily monitoring of core interfaces, immersive online inspections, and a closed‑loop post‑incident review, turning routine checks into a powerful, collaborative quality shield.
Facing performance and layout challenges when visualizing thousands of function call nodes, we iterated through Echarts, Ant Design Charts, and finally adopted AntV G6, achieving smooth interaction, automatic layout, and scalable coverage mapping for our link coverage tool.
This article demonstrates how AI tools like Coze and Cursor can automate the generation, validation, and execution of test cases, turning tedious manual processes into fast, accurate, and integrated workflows that boost testing efficiency and coverage.
