AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

CodeRabbit, the leading AI-powered code review platform, today released the "State of AI vs Human Code Generation", a comprehensive new report analyzing the quality of AI-generated code in real-world ...

平均而言，每个AI生成的拉取请求（PR）包含约10.83个问题，而人类编写的拉取请求平均仅有6.45个问题——这意味着引入AI后问题数量增加了约1.7倍，导致代码审查时间更长，缺陷风险更高。

I started my career as an architect and coder working on AI algorithms for image processing, natural language processing, and search. Flash-forward to today, my coding is limited to low-code platforms ...

BURLINGTON, Mass.--(BUSINESS WIRE)--Veracode, a global leader in application risk management, today unveiled its 2025 GenAI Code Security Report, revealing critical security flaws in AI-generated code ...

Have you ever found yourself wrestling with AI-generated code that just doesn’t quite hit the mark? Maybe it’s close, but not precise enough to meet your project ...

CodeRabbit analyzed 470 GitHub pull requests and found AI-generated code introduces more defects than human-written code ...

Replit unveiled Agent 3 on Wednesday. Code-generation is one of the few viable business use cases for AI. However, Replit recently deleted a company's entire database. AI startup Replit released Agent ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

A new report by AI software company CodeRabbit found that code generated by an AI was far more error-prone than human-written ...

The first major challenge directly comes from the limited data. Unlike software engineering tasks, where large-scale public data is abundant, the hardware domain, especially UVM verification, is ...