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Latest from Qunhe Technology Quality Tech

70 recent articles

Qunhe Technology Quality Tech

Dec 4, 2024 · Frontend Development

How a Front‑End Publishing Platform Boosted Release Quality and Speed

This article details how KuJiaLe's front‑end publishing platform was redesigned to solve chaotic environments, low‑efficiency releases, and poor quality by introducing standardized workflows, modular management, automated quality checkpoints, and future automation plans, resulting in dramatically higher on‑time delivery and stability.

Frontendcontinuous integrationquality assurance

0 likes · 11 min read

How a Front‑End Publishing Platform Boosted Release Quality and Speed

Qunhe Technology Quality Tech

Nov 12, 2024 · Operations

How a Regression Platform Transforms Construction Drawing Testing and Boosts Efficiency

This article details the end‑to‑end workflow of converting 3D design models into 2D construction drawings, explains the platform’s architecture, testing baseline management, automated data collection, regression testing, and visual diff results, and highlights the massive efficiency gains and future automation roadmap.

AutomationData AnalysisRegression testing

0 likes · 10 min read

How a Regression Platform Transforms Construction Drawing Testing and Boosts Efficiency

Qunhe Technology Quality Tech

Oct 28, 2024 · Backend Development

Which Tool Best Visualizes API Comparison Results: Allure, Flask, or Next.js?

This article compares three approaches—Allure reports, a Flask log‑parser, and a Next.js front‑end with Prisma—to display API comparison data, detailing their implementation steps, code snippets, and trade‑offs to help developers choose the most suitable solution.

API testingAllureFlask

0 likes · 11 min read

Which Tool Best Visualizes API Comparison Results: Allure, Flask, or Next.js?

Qunhe Technology Quality Tech

Sep 19, 2024 · Artificial Intelligence

Deploy FastGPT Locally: Step‑by‑Step Docker & Source Code Guide for RAG AI

This article explains how to set up FastGPT, a Retrieval‑Augmented Generation (RAG) knowledge‑base system powered by large language models, covering both Docker‑compose image deployment and source‑code installation, including environment configuration, database setup, and API usage examples.

AIDockerFastGPT

0 likes · 13 min read

Deploy FastGPT Locally: Step‑by‑Step Docker & Source Code Guide for RAG AI

Qunhe Technology Quality Tech

Sep 10, 2024 · Artificial Intelligence

Boost Test Case Creation with AI: How a Multi‑Model Platform Cuts Effort by 80%

An AI-driven test case generation platform at KuJiaLe leverages multiple large language models, offering three input methods, online editing, and dual export options, while addressing stability, length limits, and security challenges to improve testing efficiency and achieve over 80% success rate.

AI testingAutomationLarge Language Model

0 likes · 10 min read

Boost Test Case Creation with AI: How a Multi‑Model Platform Cuts Effort by 80%

Qunhe Technology Quality Tech

Aug 27, 2024 · Artificial Intelligence

Boosting Test Code Quality: How Large Language Models Transform Code Review

This article explores how mature testing teams can leverage large language models for automated code review, outlining the advantages, challenges, and a practical implementation using FastGPT and GitLab CI to build a low‑cost, AI‑enhanced review system that improves efficiency and feedback quality.

AICode ReviewFastGPT

0 likes · 10 min read

Boosting Test Code Quality: How Large Language Models Transform Code Review

Qunhe Technology Quality Tech

Aug 16, 2024 · Artificial Intelligence

How FastGPT Transforms Ticket Handling and Boosts Efficiency by 90%

This article examines the pain points of a custom ticket system, introduces FastGPT’s knowledge‑base and query capabilities, outlines integration architecture and concrete features, and shows how the combined solution reduces ticket resolution time dramatically while improving overall operational efficiency.

AIFastGPTOperations

0 likes · 10 min read

How FastGPT Transforms Ticket Handling and Boosts Efficiency by 90%

Qunhe Technology Quality Tech

Aug 14, 2024 · Artificial Intelligence

Should Your Testing Team Build a Private LLM or Use RAG with a General Model?

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.

AILarge Language ModelsModel Deployment

0 likes · 11 min read

Should Your Testing Team Build a Private LLM or Use RAG with a General Model?

Qunhe Technology Quality Tech

Jul 29, 2024 · Artificial Intelligence

Inside MTSC 2024 Shanghai: AI, 3D Rendering, and Front‑End Performance in Modern Testing

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.

3D renderingAI testingconference recap

0 likes · 3 min read

Inside MTSC 2024 Shanghai: AI, 3D Rendering, and Front‑End Performance in Modern Testing

Qunhe Technology Quality Tech

Jun 3, 2024 · Frontend Development

How to Diagnose and Optimize Frontend Performance in 2D Design Tools

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.

MetricsWeb Optimizationfrontend performance

0 likes · 11 min read

How to Diagnose and Optimize Frontend Performance in 2D Design Tools