Autonomous, everyday workflows; streamlined inter-team collaboration; and time given back to humans for business-focused initiatives are just a few agentic AI benefits becoming clearer each day.

Microsoft Azure and University of Texas researchers found that multi-step AI workflows create CPU-GPU bottlenecks that conventional inference infrastructure struggles to handle efficiently.

The crucial skill for the AI era is shifting from simple prompting to leading agentic teams, requiring new management and system design capabilities for a competitive edge. AI startup Serval is taking ...

Natural language → SQL against relational databases, built to the Entermind SQL Agent PRD. The property I optimized for is the one the PRD calls defining: switching engines is a registration action, ...

You have 50 SQL Servers across half a dozen firewalled network segments. To see why a job failed last night you RDP into a box and open SSMS. To check whether anyone still runs that decommissioned ...

Google deleted three AI agent workflows from its Agent Development Kit (ADK) Python repository. Pillar Security showed that a public GitHub issue could manipulate a triage agent into triggering a ...

Two security flaws in Paperclip could let attackers execute commands on a network server or a developer's computer. Paperclip is an open-source control plane for teams of artificial intelligence (AI) ...