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 ...

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 ...

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

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

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 ...

Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to daysQA flow, ...

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

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 ...