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UI testing services can help teams ship code faster while ensuring no bugs immediately obvious to users make it into production. However, many testing services can’t deliver these benefits for various reasons (which we’ll discuss in more detail below), the main one being that their automated tests don’t validate an application’s UI directly, like how a real-life user would by clicking buttons, pages, form fields, and other UI elements.

We’re excited to share some big news with our community of QA professionals, software testers, and developers: TestQuality has been named "Tool of the Week" by the Ministry of Testing (MoT), one of the most respected communities in the software testing world! You can find the mention featured directly on the Ministry of Testing homepage and a dedicated TestQuality spotlight page: TestQuality on Ministry of Testing.

Building AI agents is the first step, and it’s positive to see enterprises exploring this avenue. But it’s only the first step. For true enterprise value, these agents must seamlessly connect to your data ecosystem through robust integration, standardized protocols, and be guided by knowledgeable data teams. The need to give AI agents access to data and connect them to the necessary tools and functions has led to the creation of the Model Context Protocol (MCP).

In today’s fast-paced development environment, automatically generating tests has become a necessity. Tools leveraging AI, manual interventions, and live environment captures facilitate this process. For instance, k6 focuses on load testing, generating automated tests with minimal maintenance. On the other hand, AI generative tools like GitHub Copilot, Bard, and ChatGPT can produce many tests, though often with redundancy.

In today’s fast-evolving Oracle Cloud environments, organizations must strike a balance between agility and compliance. While agility calls for rapid adoption of Oracle Cloud updates, evolving business processes, and dynamic integrations, compliance demands strict adherence to organizational policies, governance standards, and regulatory requirements. Quality Assurance (QA) bridges this divide—enabling innovation while managing risk.

Effective quality assurance in Oracle Cloud demands a structured, module-specific automation strategy. From ERP to HCM and CX, aligning test automation to business functions can accelerate test coverage, improve defect detection, and optimize costs.

Oracle Cloud applications offer powerful capabilities, but testing them effectively is far from plug-and-play. Many organizations stumble into costly pitfalls during implementation due to the complexity of their business processes, gaps in test coverage, and inadequate planning. Based on our extensive experience in Oracle Cloud Testing, here are the top 5 pitfalls we’ve seen – and how you can avoid them.

You may have noticed that the phrase “Let’s take that offline” is gradually being replaced by “Let’s connect async.” Both expressions are a type of white flag, surrendering to the reality that a tricky issue needs to be resolved in a private conversation rather than in a group call. It’s often music to the attendees’ ears because it means the meeting is almost over.

Nowadays, efficient and integrated testing tools are essential for delivering quality quickly. Forrester's 2025 Total Economic Impact of Xray report illuminates how Xray helps organizations streamline testing processes, improve collaboration, and gain significant cost savings.

Long polling and WebSockets are two common techniques for delivering realtime data. While both have been used successfully in production systems, they differ significantly in how they perform, scale, and integrate into modern architectures. This guide compares long polling vs WebSockets to help engineering teams and technical decision-makers choose the right approach for delivering realtime experiences reliably and at scale.