Systems | Development | Analytics | API | Testing

Software teams are shipping faster than ever — but testing still moves at human speed. Agile and DevOps have redefined delivery cycles, yet QA teams are often left struggling to keep up. Between evolving requirements, multiple environments, and constant regression demands, testers are expected to do more with less. One of the biggest bottlenecks? Test case design. Creating test cases manually is slow, repetitive, and prone to oversight.

Three out of four software leaders think agentic AI will be fully trusted for autonomous testing by 2027, yet only nine percent completely trust AI today. Let’s unpack the data and see what the trust gap tells us about the journey ahead.

With Xcode 26, Apple has finally introduced Xcode Compilation Caching: a major leap forward for iOS developers, who no longer have to wait around for slow builds while their CI pipelines recompile code that hasn’t changed. At Bitrise, our Build Cache product already supports Bazel and Gradle, so the logical next step was to introduce support for compilation caching in Xcode. In this blog post, we’re lifting the hood on how we built this new feature.

SmartBear participated in and won first prize at the ALMathon, the annual hackathon for SAP Partners. The challenge: Create innovative use cases to extend SAP Cloud ALM. So, we integrated Reflect, our AI-powered test automation product, into SAP Cloud ALM to enable users to automate their manual testing process.

AI adoption is accelerating across every industry, from customer service and marketing to finance and retail, and we’re still far from its peak. Many organizations have already begun integrating AI agents into their business operations. A key aspect of this transformation is the use of AI agents, whether purpose-built or off-the-shelf, to assist with or even replace tasks traditionally handled by humans.

During London Tech Week, our CEO, Mike Capone, joined CNBC to talk about the UK’s position in the global AI landscape, and why this is a moment the country should not waste. His message was simple. The UK already has many of the ingredients for leadership in AI. The question now is how fast it can move from innovation to scale.

In 2025, as AI models increasingly generate, refactor, and deploy code on their own, developers face a new challenge: how to safely run code they didn’t write. Sandboxes have become the backbone of this new workflow because they are lightweight, secure environments that let teams test, validate, and monitor code without risking production systems.