Learn how to use no-code AI automation and workflow automation tools to build simple, powerful AI workflows that streamline ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

Automation is necessary, but it can bring an "automation paradox": Speed without insight may simply propagate errors faster ...

Naresh Lokiny advances telecom and payment systems through DevOps, AI and automated testing, reducing manual tasks and ...

Generative AI is rapidly changing how software is designed, built, and maintained. As these systems become more capable, they are also reshaping how quality assurance teams approach testing, ...

Imagine launching a website that works perfectly in testing, only to watch it struggle or crash the moment real users arrive.

AI advances have unlocked gains in speed and efficiency, but AI is also introducing new risks, including in the inbox.

Since ChatGPT made its debut in late 2022, literally dozens of frameworks for building AI agents have emerged. Of them, ...

The promise of agentic AI to transform customer experience (CX) is undeniable. AI-enabled CX platforms are rapidly expanding into a global market, with forecasts predicting it will reach USD 117.8 ...

If AI writes code like a teenager, then testers need to be the adults in the room. That doesn’t mean standing at the end of ...

Move to skill-based CLI setups where each .md skill adds just 10–50 tokens, giving you thousands of integrations without ballooning context.