Systems | Development | Analytics | API | Testing

Inside ClearML's AMD Instinct GPU Partitioning Integration: Architecture, Orchestration, and Resource Management

GPU underutilization costs enterprises millions annually, with expensive accelerators frequently running single workloads at a fraction of their capacity. According to ClearML’s 2025-2026 State of AI Infrastructure at Scale report, almost half (49.2%) of IT leaders at F1000 companies identified maximizing GPU efficiency across existing hardware, including shared compute and fractional GPUs, as their top priority for expanding AI infrastructure over the next 12-18 months.

Insights from eBay: How API Ecosystems Are Ushering In the Agentic Era

The rise of intelligent agents and AI prompts is transforming APIs from mere infrastructure into the capability ecosystem of the agentic era, driving a new model of ecosystem-led growth. To prepare for the inevitable explosion of agent-driven API traffic, enterprises are prioritizing a strategic approach to API governance, developer experience, and scalable infrastructure.

AI and the senior tester: How seasoned QA pros can navigate and help define the future of quality engineering

AI’s impact on quality engineering has been widely discussed, with some predicting a crisis for software testers. The more dire forecasts have narrowed in on the junior tester, as some anticipate that AI’s ability to perform routine tasks will eliminate entry-level roles. As Tricentis has explored, AI will not replace junior testers but will rather remake their jobs, enabling them to engage in strategic work earlier in their careers. But what about the senior tester?

Secure Your AI Agents and MCP Servers - New in WSO2 Identity Server 7.2

AI agents are becoming more autonomous — making decisions, taking actions, and accessing sensitive data — but traditional IAM systems weren’t built for them. How do you secure, control, and audit AI agents in your apps? In this video, Savindi Waduge introduces *WSO2 Identity Server 7.2,* a major release designed to address the security challenges of the AI era. From defining "Identity for AI Agents" to securing the *Model Context Protocol (MCP)* , this update ensures your autonomous systems are secure, accountable, and manageable.

AI UX: Reliable, resumable token streaming

Refresh the page, lose signal, switch tabs - the AI conversation just keeps going. That’s what reliable, resumable token streaming makes possible. No restarts, no lost context, just the same response picking up right where it left off. It keeps users in flow and builds trust, making conversations feel seamless. Even better, it unlocks things like switching devices mid-stream without missing a beat.

We built a MCP Server that lets AI control macOS Virtual Machines

TL;DR: We created Remote Execution and Computer Use APIs for macOS, packaged them as a MCP server, and now your AI assistant can spin up Virtual Machines (VMs), run shell commands, transfer files, and even click around the Graphic User Interface (GUI). It's a prototype. It's a bit wild. We'd love to know what you'd build with it.

Keep Pact Tests Up to Date Automatically | SmartBear MCP Server

Tired of manually updating your Pact contract tests? Learn how to automate the entire process using AI agents with SmartBear MCP tools and GitHub Copilot! In this video, we walk through how AI-assisted contract testing helps you automatically upgrade Pact tests when new features are added to your API.

The AI Governance Wake-Up Call

Companies are rapidly adopting AI, but it's not all roses. The excitement comes with significant risks, such as shadow AI, runaway costs, and security nightmares. This post explores the real challenges organizations face in AI governance today and highlights how forward-thinking companies are beginning to tackle them. Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents.