Kujiale Technology Quality
This article compares the high costs and technical challenges of building a private large language model with the benefits, flexibility, and lower risk of using Retrieval‑Augmented Generation (RAG) on a general LLM, offering practical guidance for testing teams seeking AI assistance.
The MTSC 2024 Shanghai conference gathered top testing experts to discuss AI‑driven testing, full‑chain 3D rendering ecosystems, UI automation for graphics software, and front‑end performance assurance, offering a comprehensive look at emerging quality‑assurance practices and future collaborations.
This article outlines the challenges of front‑end performance troubleshooting for a 2D design tool, proposes systematic approaches for identifying issues, describes monitoring metrics such as load time and frame rate, and presents real‑world case studies demonstrating effective optimization and baseline management.
To streamline repetitive, time‑consuming tasks in the KuJiaLe design tool, the team built a low‑code Tampermonkey plugin that consolidates data queries, model interactions, and custom actions into a draggable menu, offering easy development, powerful APIs, and seamless updates for front‑end developers.
This article shares practical steps and key insights for conducting a project test retrospective, covering purpose clarification, mindset adjustment, documentation preparation, meeting facilitation, feedback collection, and lessons learned, illustrated with examples from the KE offline rendering cloud map project to help teams improve quality processes.
This article details the challenges of managing a complex, multi‑layered offline testing environment at KuJiaLe, outlines the standardization of baseline, functional, and integration environments, and explains the comprehensive stability measures—including infrastructure upgrades, automated checks, emergency response, and daily operations—that dramatically improved reliability.
This article explains how Kujiale’s open API platform implements pre‑release process controls, full automation testing, field‑mapping, online traffic inspection, active health checks, and customizable throttling rules to ensure high stability, early fault detection, and safe handling of traffic spikes for customer integrations.
This article shares KuJiaLe's experience tackling stability challenges caused by rapid user growth and system complexity, detailing their organizational, process, cultural, and technical approaches—including goal setting, a stability committee, monitoring, incident response, change control, and regular drills—to achieve measurable improvements in reliability and performance.
This article compares a Java + TestNG + HttpClient stack with a Groovy + Spock + RestAssured approach, showing how data‑driven testing, encryption handling, data extraction, and validation can be streamlined for more flexible and efficient API testing.
This guide walks you through the fundamentals of WeChat Mini Program testing, covering environment preparation with the developer tools, core rendering and logic concepts, version handling, performance monitoring, mock data creation, and automated testing using the pytest‑mini plugin.
