Systems | Development | Analytics | API | Testing

Traditional test scripts are too brittle for today’s fast-moving, complex systems. AI-powered agents enable a shift to scenario-based testing - high-level, reusable flows that describe user intent and behavior. Agents can help extract, generate, and evolve these scenarios, while humans guide relevance, risk, and validation. This approach improves stability, cross-platform coverage, and business alignment.

When you think about test automation, what image comes to mind? For many QA leaders, automation still means running the same scripts every night, chasing down false-positives, and fighting maintenance debt. That model served us well for a while, but it was always limited: automation only runs what humans script. The next era is about AI-powered testing. AI-powered testing doesn’t just execute predefined tasks; it generates coverage dynamically, adapting as your application evolves.

By Erez Schnaider, Technical Product Marketing Manager, ClearML The GPU-as-a-Service market is experiencing hyper growth. Yet across telecommunications companies, cloud service providers (CSPs), and enterprise organizations, GPU infrastructure has been viewed as a necessary cost center rather than a strategic asset. This perspective is changing as energy optimization technologies and multi-tenant capabilities transform GPU infrastructure into monetization engines and competitive differentiators.

AI doesn’t just learn from data, it learns from us, and we are far from perfect. When it scrapes the internet for knowledge, it also absorbs our biases, blind spots, and noise, shaping how it interprets the world..

‍ 2025 is turning out to be a big year for AI agents. Grand View Research notes that the global AI agent development market, worth about USD 5.40 billion in 2024, could soar to nearly USD 50.31 billion by 2030, growing at a remarkable 45.8% CAGR. And it’s not just about numbers. A recent McKinsey report highlights that agentic AI is the next logical step after generative AI. Evolving from simple task execution to actively driving goals and delivering results that make a measurable difference.

You’ve probably been there: your AI coding assistant just generated what looks like a perfect solution to your problem. Decent code quality, reasonable structure, and even some comments. You run it, and… it works. So you ship it. Three weeks later, your production logs are full of 500 errors from edge cases the AI never considered, or worse, you discover the code has been making unvalidated database calls that could have been prevented with basic input sanitization.

We’re excited to introduce two powerful new capabilities in Xray: AI Test Case Generation and AI Test Model Generation for Xray Enterprise, powered by Sembi IQ — Sembi’s AI platform built to help QA, development, and security teams deliver better software, faster. With these new features, Xray brings intelligence directly into the testing process, making it faster to design tests, easier to ensure coverage, more secure by design, and always guided by human expertise.