Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Multi-agent systems will collaborate across the mobile stack, continuously detecting, diagnosing and resolving issues before ...

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

Context engineering is quickly becoming the backbone of modern artificial intelligence as organizations push for systems that stay accurate, grounded and predictable while handling increasingly ...

Enterprise AI has crossed a critical threshold. AI systems are no longer limited to recommending actions or generating insights. Increasingly, they are taking actions—approving refunds, initiating ...

In the past few years, software engineering has undergone a rapid transformation. Artificial intelligence has moved from novelty to infrastructure. Tools like GitHub Copilot, Cursor, and Claude Code ...

When Agentic AI is integrated with NHI management, organizations gain a security model that’s adaptive, contextual, and built for modern systems. Risks are identified earlier. Response is faster. And ...

Silicon Valley built AI coding agents that can handle most of the grunt work. Now, the most valuable skill in tech is ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Microsoft has acquired Osmos to bring autonomous, agentic data engineering into Microsoft Fabric. Osmos technology automates data preparation and transformation within Fabric workflows. The ...