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

Among such innovators leading this change, Automation Lead Mohnish Neelapu stands at the forefront of the movement to ...

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

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

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 ...

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

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, ...

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 ...

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