Opening disclaimer: I am going to make claims here and provide limited proof. Fear not, fellow truth seekers. Future blog posts will provide numbers, evidence, and elaboration.
In today’s fast-paced software development landscape, the demand for high-quality applications is at an all-time high. As organizations increasingly rely on Oracle technologies for their critical business operations, ensuring the reliability and performance of these systems is paramount. One of the most effective ways to achieve this is through automated testing.
AI is only as good as the data it learns from. Without a strong data integrity foundation, AI models risk reinforcing biases, misinterpreting trends, and making flawed predictions — ultimately leading businesses down costly and damaging paths.
A recent update to the European Union’s Product Liability Directive (PLD) redefines safety-related responsibilities and risks for software producers. The new directive becomes enforceable in December 2026 and is designed to strengthen consumer protection in a society that is increasingly dependent on software. The directive is focused on safeguarding individuals and therefore only applies to safety-related defects that harm individuals.
As global maritime challenges intensify, the pressing need for the U.S. Department of Defense to modernize its maritime technology has never been more critical. At WEST 2025 in San Diego, Navy, Marine Corps, and Coast Guard leaders called for cutting-edge technologies to improve readiness and new capabilities to support multi-domain operations. And while IT modernization topped the DoD’s priorities, a new conversation about testing emerged.
In today’s fast-paced digital world, delivering seamless and efficient web application performance is non-negotiable. But there’s a major area that is often overlooked in performance engineering: remote terminal emulation (RTE). For organizations relying on mainframes or other legacy, terminal-based systems, blind spots in performance testing can introduce vulnerabilities that compromise the front-end web processes that rely on them.
With the newest release of Tricentis LiveCompare, we have updated SAP HANA apps, the Smart Impact apps dashboard, and other aspects to improve your experience. With new features for templates, reports, accessibility, user interface, performance, and test repositories, LiveCompare has even more robust capabilities to enable your organization to have a fast, efficient, and trustworthy testing process.
At Tricentis, we’re committed to making test management smarter, more efficient, and customizable. With the latest release of Tricentis Test Management (TTM) for Jira, we’re introducing new features to enhance your test execution efficiency and provide greater control and visibility. Key updates include unified global and requirement execution progress reporting, greater AI customization across projects, and enhanced test review and execution.
In today’s interconnected digital world, software development and testing often hinge on APIs and dependent systems. These systems are the backbone of modern applications, but they can also create bottlenecks when they’re unavailable, costly, or challenging to work with. Tricentis API Simulation eliminates these barriers, enabling teams to accelerate development, reduce costs, and deliver high-quality software with confidence.
“AI is amazing at guessing quickly, but it fundamentally can’t reason.” That is a quote from someone I know very well, circa 2022. I wonder what the thought process was; the reasoning that went into that statement. Luckily I don’t have to guess, because that person was me. I made that statement in response to the first rounds of LLMs (GPT3, 3.5, PALM2 etc). It remained a firm conviction of mine through the release of GPT-4o and Anthropic’s latest Claude models.