Systems | Development | Analytics | API | Testing

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.

Automotive infotainment systems are a core component of the modern driving experience. As these systems expand in features and complexity, the challenges for the software design teams behind them also increase. For automotive leaders, designers, and technicians, staying ahead means.

If you’re using Microsoft Dynamics 365 — whether it’s for enterprise resource planning (ERP), customer relationship management (CRM), or any other business application — data privacy and compliance on the platform should remain a top priority.

Katalon Studio 10.4 introduces a new wave of AI-powered and enterprise-ready capabilities that streamline test creation, maintenance, and analysis. This release focuses on avoiding context switching, simplifying upgrades, and enhancing test intelligence, all designed to make testing faster, smarter, and more reliable.

Did you know that almost 80% of failures in performance testing are related to missing basic pre-validation steps before performance testing is done? In the race to meet release dates, many development teams jump into performance testing without knowing that the system is ready for performance testing. The consequences of performance test preparation include inaccurate metrics, wasted infrastructure costs, and inaccurate conclusions relayed around an application’s ability to scale.

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.

If you manage SAP data, you recognize this pattern: Business users need to update records daily (pricing changes, purchase orders, customer information), but they lack SAP expertise. And IT teams are overwhelmed with data entry requests. If you stick with manual processes, you face errors and delays. You need an SAP automation tool that meets you where you are without a huge learning curve.

We are noticing that some of our requests are starting to get slow and server load increases. Checking the process list of our server, for example with htop reveals that our FPM workers are taking up all of our CPU time. Checking the health with our basic toolset of lsof to show open network connections and strace to show syscalls does not reveal any activity. This means that the workers are spending time processing data without any externally visible activity.