The findings conclude that organizations with mature DevOps practices* are more successful in scaling AI than those with immature practices. In short, DevOps has not failed; incomplete DevOps has.

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 ...

Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...

Poor software quality cost the U.S. economy an estimated $2.41 trillion annually in 2022, according to the Consortium for ...

Studies find AI helps developers release more software—while logging longer hours and fixing problems after the code goes ...

New integration brings context-aware, policy-aligned AI code review directly into Azure DevOps NEW YORK, Feb. 11, 2026 (GLOBE NEWSWIRE) -- Qodo, the AI code review platform, today announced a new ...

Today companies such as OpenAI, Anthropic, Microsoft and Google have all released AI products geared specifically to coding. ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

In our DevOps-driven world of CI/CD pipelines and rapid deployments, it’s easy to assume that automation and now AI have made manual testing obsolete. But the reality is different. Manual testers ...