Systems | Development | Analytics | API | Testing

Accelerating the API SDLC with SmartBear MCP Server and Swagger MCP Tools

Note: The SmartBear MCP Server is under active development and features may change. Check our GitHub repository for the latest updates and compatibility information. At SmartBear, we show how our MCP Server enables a secure and intelligent bridge between SmartBear platform data and AI-powered development workflows.

Digital Twins Gone Wild: My Unexpected AI Doppelgänger

I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me… and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor—or a very different definition of “twin.” Forget Arnold Schwarzenegger and Danny DeVito.

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.

How AI Transforms Retail, Finance and Manufacturing in 2026

In this episode, Dana Gardner sits down with three industry experts from Snowflake: Rosemary DeAragon, Rinesh Patel, and Tim Long to explore how AI will transform retail, financial services, and global manufacturing in 2026. Together, they break down the forces reshaping consumer behavior, enterprise operations, and competitive dynamics across these sectors. Across all three industries, one theme is clear: in 2026, AI will no longer be a side experiment. It will be a foundational driver of growth, efficiency, and competitive advantage.

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.

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.

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.