This article outlines the challenges of manual frontend code review, compares AI-powered CR solutions, details a pipeline integration using Cursor Agent CLI, and provides practical guidelines, model selection tips, and built‑in prompt engineering to automate and improve code quality checks.
The article describes a reflection‑based workflow that lets an AI iteratively generate, validate, and refine Go unit tests until 70 %+ code coverage is reached, using coverage‑out parsing, role‑based prompts, and automatic error correction, enabling fully autonomous test creation that can be integrated into CI pipelines to dramatically improve developer productivity.
This article details the design and implementation of QQ’s Hodor performance‑degradation prevention system, covering its motivation, architecture, data collection via xctrace, task scheduling, static symbol scanning, automated ticketing, alerting, dashboards, and the measurable efficiency gains achieved across the mobile client ecosystem.
This article shares a year‑long experience of UI automation at Youzan, covering how to select stable business scenarios, choose Puppeteer with Mocha, implement robust element locating, handle dynamic data via API interception, apply wait and retry mechanisms, capture screenshots, log responses, and integrate tests into CI pipelines for reliable regression testing.
This article details Ctrip's experience of adopting Swift for iOS development, covering the language's evolution, statistical adoption, static‑library integration, ObjC‑Swift mixed compilation, module stability with swiftinterface files, CI pipeline adjustments, and strategies for seamless ObjC‑Swift interoperation.
Nohost, built on the open‑source Whistle proxy, offers a centralized, multi‑user, multi‑environment configuration and packet‑capture solution that lets developers, testers, and product teams instantly switch and share environments, automate CI integration, and streamline debugging across PC, H5, and mini‑program platforms.
This article shares the design principles, architecture, and practical experiences of building a stable, maintainable UI automation framework for mobile applications, covering test case simplicity, maintenance cost reduction, driver abstraction, retry mechanisms, metrics, and CI integration.
This article shares the author's experience designing a stable, maintainable UI automation framework for iOS and Android, covering its motivations, advantages, architecture, coding practices, failure‑retry mechanisms, metrics, and CI integration to help teams avoid common pitfalls and improve test efficiency.
Bee is a Youzan QA UI automation framework built on Selenium and Selenide that abstracts element loading and locating, provides pageObject and service layers, supports macOS Chrome, includes retry and unified locator mechanisms, and integrates with TestNG, Jenkins, and ReportNG for reliable web and WAP test case design.
This document outlines the background, goals, and detailed architecture of a mobile UI automation framework built on Appium, describing case management, result storage, evolution of element locating and interaction methods, multi‑platform execution strategies, and future enhancements for data collection and CI integration.
