Compliance is one of the most persistent bottlenecks in regulated software development, often requiring weeks or months of manual documentation after products are built. In this episode of DEMO, Keith ...

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 ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

The learning pathway, housed within the Google Developer Program, aims to equip developers with hands-on expertise in building and deploying AI agents using the Agent Development Kit.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...