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.

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

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.

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 ...

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

In the rapidly evolving technology landscape, where agility, automation, and security define enterprise success, Ananth Reddy ...

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

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 ...

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...

A technical preview promises to take on the unrewarding work in DevOps, but questions remain about controls over costs and access.