Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an ...

AI is flipping software development from execution to oversight. Here's how intent, validation and governance are replacing ...

CodeRabbit, the category-defining platform for AI-powered code reviews, today announced the public beta of CodeRabbit Issue Planner, a new product designed to help engineering teams collaboratively ...

Are Organizations Equipped to Handle Agentic AI Security? Where artificial intelligence and machine learning have become integral parts of various industries, securing these advanced technologies is ...

Cursor, an AI-assisted development environment, essentially an IDE, is being used by Nvidia internally to boost coding ...

IBM’s research shows that organizations that use AI for security reduce breach costs, yet many still struggle to secure their own AI systems. According to a recent GitLab study, practitioners in ...

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

GitHub Copilot testing for .NET in Visual Studio 2026 v18.3 can generate tests for the xUnit, NUnit, and MSTest test frameworks.

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

He's not alone. AI coding assistants have compressed development timelines from months to days. But while development ...