Systems | Development | Analytics | API | Testing

We are thrilled to announce that the Vera 2025.1 release has gone live within the Vera platform. The Vera 2025.1 release further streamlines your daily reporting and record maintenance, revolving largely around updates and improvements to user interface, performance, and security. As our team at Tricentis continues to iterate on our products, we are always looking for opportunities to make your testing experience more efficient, faster, and increasingly automated.

This release focuses on the addition of support for several new technologies, as well as the initial release of a fundamental modernization effort we have been implementing on the NeoLoad web platform.

At Tricentis, we’re committed to pushing the boundaries of software testing, and our latest innovation, the spring 2025 release of Tosca, is a testament to that commitment. This update introduces a suite of advanced features for Tosca’s cloud deployment and is designed to elevate your test automation experience, further enhance authoring, and advance test automation and zero-footprint execution.

Large language models (LLMs) have redefined artificial intelligence (AI), pushing the boundaries of natural language processing (NLP) and enabling machines to understand, generate, and manipulate human-like text. From chatbots and content creation to legal and medical applications, LLMs are transforming industries at an unprecedented pace. But what makes these models so powerful? How do they work? And what challenges do they pose?

Worldwide, over 150,000 companies rely on Salesforce for business-critical operations such as sales, marketing, or customer service. Given its critical role in business success, ensuring that Salesforce applications function correctly is not just a best practice — it’s a necessity. However, Salesforce environments are highly dynamic. Frequent updates, extensive customizations, and numerous third-party integrations mean that changes can introduce unexpected issues.

The 2025 Oscars were meant to be a celebration of cinematic excellence, but for Hulu viewers, the biggest drama unfolded off-screen. As The Hollywood Reporter detailed, Hulu’s livestream of the Academy Awards suffered major outages, leaving frustrated users staring at frozen screens instead of red-carpet glamour. The Economic Times reported that viewers scrambled to find alternative ways to watch, turning what should have been a seamless experience into a PR nightmare for the streaming giant.

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.