Systems | Development | Analytics | API | Testing

Agentic Testing and QA: Why Chrome DevTools Still Matters for Modern Testers

Chrome DevTools is the built-in browser inspector and debugger that ships with Google Chrome, giving testers ground-truth visibility into DOM state, network traffic, device rendering, and runtime behavior. In the context of Agentic Testing and QA — the emerging pattern where AI agents draft, execute, and summarize tests with reduced human supervision — DevTools remains the verification layer that confirms what an agent actually did inside the browser.

Meet Katalon AI Assistant: Your Extended QA Team

AI-assisted development means more code, faster release cycles, and a testing surface area that keeps expanding, but QA team size hasn't kept pace. The result is a pressure most QA engineers know well: you're not behind because you're slow. You're behind because the math no longer works. Most tools respond by adding AI at the margins: a suggestion feature here, a copilot shortcut there.

It Took 9 Seconds for an AI Agent to Delete a Production Database. Here's What Should Have Stopped It.

What the PocketOS incident reveals about AI agents, unscopped API tokens, and why enterprise data needs a gateway in front of it. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough.

Cloudera and NVIDIA: Accelerating AI Innovation with Trusted Data at Scale #Cloudera #Short #tech

As organizations race to capitalize on AI, the foundation of success lies in trusted data and scalable infrastructure. In this video, we explore how Cloudera AI, powered by NVIDIA, delivers an end-to-end platform that enables organizations to build, test, and deploy high-performance AI solutions. From the Cloudera hybrid data lake to production-ready AI, discover how Cloudera is helping enterprises accelerate their data-driven future.

Beyond the Pilot: How Cloudera is Scaling AI Execution

Hey, did you know Cloudera is actively hiring to build the next phase of enterprise AI? While much of the industry is focused on experimentation, Cloudera is investing in execution, scaling real-world AI with innovations like Cloudera Agent Studio and managing data at exabyte scale. As we continue to bring AI to data anywhere, we’re growing our global team to turn AI from pilot to production.

How Agentic AI is Transforming Enterprises?

The artificial intelligence landscape has crossed a consequential inflection point. Enterprises that approached AI as an efficiency instrument, deploying it to automate discrete tasks, accelerate content generation, or augment human decision-making at the margins, are now confronting a paradigm of an altogether different magnitude.

Why production AI needs a session layer, not just a stream

I spoke at AI Engineer Europe last week, and came away with a clearer picture of where the industry actually is right now. My talk was about why AI user experience breaks at the transport layer. But the bigger takeaway wasn't from my own session. It was from watching what the rest of the room was building, and what problems they were running into.