Overview: Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and ...

Modern economies run on networks that are expected to be always on, always secure, and increasingly autonomous. Hospitals rely on them for connected medical dev ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

A useful name for what accumulates in the mismatch is verification debt. It is the gap between what you released and what you ...

While new technologies emerge, the data confirms foundational technical skills remain the gatekeepers for employment. The "Big Three" by assessment volume are Algorithms, SQL, and Data Structures, ...

AI is transforming the software landscape, with many organizations integrating AI-driven workflows directly into their ...

Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows ...

Inspired Testing advances AI-enabled software quality with Mathew ZunguSenior solutions consultant plays a key role in helping organisations modernise software quality.Issued by Inspired ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...

Managing just-in-time access at scale is a growing IAM challenge as speed and auditability collide daily. Tines shows how ...

Flexxbotics, the autonomous manufacturing platform leader, announced the release of its software-defined automation as a free ...