Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...

All my agents needed was a little bit of codified workflows to follow ...

At DevSparks Bengaluru 2026, AWS’ Praful Bagai used cricket to explain why developers must move beyond prompts and start ...

As organizations automate more of the work once performed by junior analysts and engineers, they’re confronting a challenge that’s as much about workforce design as architecture design: how to build ...

CRN breaks down the top agentic AI products and tools of 2026 so far—from Cisco Cloud Control and Nutanix Agentic AI to Microsoft Copilot Cowork and Databricks Genie One. From Amazon Web Services, ...

A new study has found the businesses seeing the most success with agentic AI investments are those reimagining existing ...

Agentic AI can improve security operations, but only with strong oversight and real context.

Experts in the insurance industry explain where to draw the line, and why sometimes a less capable AI is a more valuable tool ...

said today it’s rolling out a new dedicated organization to bring agentic artificial intelligence systems, built on the same ...

The security implications of advanced AI models were immediately clear to Visa’s technology team when they began testing Anthropic’s Mythos model. Just weeks into Project Glasswing, the team observed ...

At this week’s TM Forum DTW Ignite conference in Copenhagen, industry leaders gathered to evaluate how agentic AI — the ...

The success of agentic AI in financial services depends not just on smarter models, but on an authoritative context data store—one that is accessible, reliable, and governed at scale.