Available now in beta, the integrations deliver a suite of AI-automated workflows that embed scalable code review directly into Azure DevOps. By grounding reviews in codebase context, past review ...

Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...

A row of employees working in an office. Most teams don't struggle to implement AI in their daily workflows because they're resistant to change. They struggle because they haven't been given the ...

Most teams don't struggle to implement AI in their daily workflows because they're resistant to change. They struggle because they haven't been given the structure to learn how to use it effectively.

The focus of this new AI accelerator is inference— the production deployment of AI models in applications. Its architecture combines high compute performance with a newly designed memory system and a ...

In this fast-paced digital world, DevOps teams are operating in complex, high-velocity enterprise environments. Distributed development teams, microservices architectures, and always-on CI/CD ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server ...

AI use is skyrocketing, and new tools are entering the scene every day. No wonder that many leaders are concerned about the ethical implications of AI in marketing. Let's kick things off by talking ...

We’ve all fallen victim to shiny object syndrome. The promise of flashy, new tech, paired with industry pressure to accelerate business transformation and deliver results, often generates a “FOMO” ...

“We are only at the beginning phases of AI diffusion and already Microsoft has built an AI business that is larger than some of our biggest franchises,” said Satya Nadella, chairman and chief ...