Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

It’s more than just a name change. An exploration of the thinking and stories of quality people making the shift.

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

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Inspired Testing advances AI-enabled software quality with Mathew ZunguSenior solutions consultant plays a key role in helping organisations modernise software quality.Issued by Inspired ...

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

When Daniel Graham, an associate professor in the University of Virginia School of Data Science, talks about the future of ...

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 ...

Founded in 2018, LambdaTest rapidly became one of the most trusted names in cloud-based test orchestration and execution. They built a scalable, high-performance test cloud that removed flakiness, ...

Maintaining quality while scaling product development is not a walk in the park, and there is no hack to get it done quickly.

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...