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

Quick Summary Struggling to deliver reliable mobile apps across devices, platforms, and OS versions? Discover the top 10 mobile application testing tools for DevOps teams in 2025 that support ...

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 ...

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

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 ...

Discover how Shreyansh Sharma leads data transformation in financial services, optimising systems for actionable insights and efficiency.

Autonomy, by contrast, is about decision‑making and adaptation. The leap from automation to autonomy is not just more actuators; it is a system that can perceive its environment, reason about options, ...