Kujiale Technology Quality
This article explains why data exchange between numerous frontend plugins in large‑scale applications is hard to trace, reviews common debugging techniques, adapts backend tracing ideas, and presents a concrete implementation for retrieving and validating plugin data in real time.
This article explains why mesh regression is needed for 3D cloud design tools, defines mesh, outlines its application scenarios such as BIM plumbing, custom door windows, and hard‑floor tiles, and details a step‑by‑step design, implementation, bug detection methods, performance improvements, and future plans.
This article reviews the formation, strategies, and outcomes of a test‑team influence‑operations group, detailing its internal sharing events, data‑driven metrics, content review practices, promotional tactics, and lessons learned for improving team impact and productivity.
This article presents a comprehensive approach to assess code change impact, improve test efficiency and quality, and automatically recommend test cases by leveraging JGit, class parsing, BCEL analysis, coverage metrics, interface prioritization, and automation integration.
This article describes how our team designed and implemented a comprehensive online monitoring system for construction drawing generation, covering business background, technical architecture analysis, metric definition, monitoring methods, and the resulting dashboards that improve quality, stability, and rapid issue resolution.
This article explores the challenges of interface testing for a large-scale home‑decoration platform, detailing pain points, testing stages, practical tips, and real‑world case studies to help backend engineers design effective, automated API tests for complex custom data.
This article details KuJiaLe's journey from monolithic to micro‑service architecture, the stability challenges encountered, and how they designed and deployed a ChaosBlade‑based fault‑injection platform that improves fault tolerance, accelerates incident response, and enhances overall user experience.
This article describes the design, implementation, and operational strategy of a comprehensive code‑metrics platform that standardizes coding standards, automates quality checks, and drives data‑guided improvements across multiple development teams, ultimately enhancing code reliability, maintainability, and CI/CD flow.
An internal one‑stop performance testing platform was built to streamline workflow control, task management, and automated baselines, cutting test cycles by up to 80%, supporting shared resources, real‑time monitoring and future extensions for middleware automation and intelligent alerts.
This article documents the step‑by‑step practices of a six‑person test‑environment availability team that unified middleware, streamlined deployment pipelines, piloted business usage, introduced monitoring and recovery mechanisms, and created a comprehensive SIT environment handbook to improve integration testing stability and operational efficiency.
