Engineering Lifecycle Management has always been about connecting engineering work: requirements to tests, changes to configurations, and engineering decisions to the artifacts and processes that follow. IBM Engineering Lifecycle Management Suite – AI Edition helps make these connections and engineering artifacts available for AI-assisted engineering. It enables a foundation for AI to work with engineering […]

As organizations move from experimenting with AI to operationalizing it across engineering teams, the focus increasingly shifts from individual AI features to the platform capabilities that make AI trusted, secure, and scalable. With IBM Engineering AI Hub 1.3, generally available from June 18, 2026, we continue building that enterprise foundation. This release expands the platform […]