Systems | Development | Analytics | API | Testing

AI is changing how software gets built. That raises the bar for every team responsible for keeping it working. SmartBear has been developing AI capabilities across the entire quality lifecycle that help teams deliver software they trust will work at AI speed and scale. Today, SmartBear announced it has achieved AWS AI Software Competency status in the Agentic AI category through the AWS Partner program.

The Internet of Medical Things (IoMT) is not a subset of consumer IoT. It is not an extension of Industrial IoT either. It is a distinct engineering domain defined by clinical accuracy requirements, patient safety consequences, mandatory regulatory frameworks, and data privacy obligations. IoMT vs consumer IoT vs industrial IoT is therefore not a product categorisation exercise. It is the foundational question every connected medical device team must answer before writing a single line of firmware.

Choosing an automated web testing tool can feel straightforward at first: compare the features, check the pricing, start a trial. But the tool your team chooses can shape how quickly you release, how confidently you catch bugs, and how much testing work your team can realistically maintain over time. To help teams ask better questions before choosing a platform, we spoke with Amber Leno, Ghost Inspector’s revenue manager.

With 34% of software failing to meet quality standards, and 77% of AI failures significant enough to damage user trust and product integrity, new research highlights why global brands must pair AI orchestration with expert human insight.

The world of banking is shifting. For a long time, cool consumer banking apps made all the headlines. But today, the biggest change is happening in the business world. Recent financial reports from firms like McKinsey and Boston Consulting Group show that small and medium enterprises (SMEs) spend over $850 billion a year on banking fees and loans. Because of this, specialized neobanking for SMEs has quietly grown into a massive $100 billion market opportunity in 2026.

As product delivery cadences shrink, traditional quality assurance approaches are reaching operational constraints. Traditional scripted test scripts, albeit a tried-and-true method in the past, can no longer keep up with the onslaught of dynamic code changes, changing microfrontends, and CI pipelines. In many cases, just changing a label or making a small modification to a layout may break whole integration suites and create huge backlogs.