In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline.

To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be ...

Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it ...

Salesforce has completed a phased migration of more than 1,000 Amazon Elastic Kubernetes Service (EKS) clusters from the ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...

Microsoft has officially open-sourced XAML Studio, a lightweight rapid prototyping tool for XAML-based UI development, under ...

Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...

Google launched the Universal Commerce Protocol (UCP), an open standard enabling AI-driven shopping agents to complete tasks ...

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

GitLab 18.8 brings a number of new features, including GitLab Duo Planner Agent, GitLab Duo Security Analyst Agent, ...

A growing body of recent research and industry commentary suggests that a shift in how organisations approach site ...

Cloudflare recently published a detailed resilience initiative called Code Orange: Fail Small, outlining a comprehensive plan ...