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Exploring the Elegance and Performance of the Seastar C++ Networking Framework

This article primarily showcases the elegance of the Seastar framework's code and highlights some of its key features.
performance-testingc++ 839

Exploring the Advantages of .NET Core for Game Development

This article delves into the features, components, and performance of .NET Core, comparing it to other platforms such as C++ and Mono, and exploring the practical benefits it can bring to game development.
gamec++c# 460

Understanding the Role of New and Delete Functions in C++

C++ is one of the most commonly used languages in corporate development, and the New and Delete functions are both loved and hated by developers. Bugs and coredumps caused by New and Delete have made countless programmers work overtime.
bugsgame-testingc++ 550
Read More
1Pluto: A High-Performance Typesetting Rendering Engine for iOS In this article, we introduce Pluto, a high-performance typesetting rendering engine for iOS that aims to improve development efficiency, ensure smoothness and memory, and reduce the coupling between styles.
2What Is Unit Testing in Software Engineering What is unit testing in software engineering? Unit testing is an essential part of the software development process and plays a crucial role in ensuring that software applications are reliable, efficient, and of high quality.
3How To Choose Right Tools For Your Test Automation The popularity of automated testing has been rising and there are increasing number of tools in the market. Because automated testing can contribute to your QA projects as well as increase your ROI, so choosing the right tool is significant.
4How to Enhance Your Performance Testing with PerfDog Custom Data Extension Discover how to integrate PerfDog Custom Data Extension into your project for more accurate and convenient performance testing and analysis.
5AI Unit Test Generation 2026: From Crisis to Productivity Leap AI unit test generation is transforming software testing. This complete guide covers usability challenges, global giant practices (GitHub Copilot, Amazon Q), Chinese innovations (Kuaishou, ByteDance, Huawei), and 5 proven paths to scale AI testing from pilot to production.
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