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 ...

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

The race to commercialize AI has reached a pivotal moment. While the industry tracks OpenAI's move into consumer ad-testing and Google's strategic launch of the Universal Commerce Protocol (UCP) last ...

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

The company has multiple orders from a major hyperscaler as it ramps up its AI processor spending. The electric vehicle capital spending market is expected to return to growth. Wall Street expects ...

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 ...

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