Avoid these mistakes to build automation that survives UI changes, validates outcomes properly, and provides useful feedback.

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

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 ...

The company continues to hire junior engineers, using AI to accelerate onboarding, deepen codebase understanding, and shorten ...

A useful name for what accumulates in the mismatch is verification debt. It is the gap between what you released and what you have demonstrated, with evidence gathered under conditions that resemble ...

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 ...

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

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

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 ...