Systems | Development | Analytics | API | Testing

We are thrilled to announce Tricentis Copilot solutions, a collection of advanced generative AI capabilities available across our products that help customers boost their efficiency throughout the entire testing lifecycle. With Tricentis Copilot solutions, you can autogenerate manual tests from requirements, optimize your portfolio, autogenerate custom code, and get meaningful insights.

We are excited to announce the launch of our new website, devresources.info, a comprehensive platform designed to serve as a central hub for developers seeking resources and events related to software development.

This blog explores how DreamFactory leverages its robust features to perform database analysis with AI, ensuring secure and efficient data operations. We will discuss the platform’s ability to generate dynamic APIs, provide real-time data insights, and maintain stringent security measures to protect data integrity.

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. To deliver on these goals, developers must have the ability to manipulate and analyze information efficiently. Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect.

Every company around the globe is trying to get in on the GenAI wave to simplify user experiences with natural language. And this is especially true in the realm of data and analytics. Imagine if you could enable all of your marketers to evaluate the performance of their campaigns with a simple question? Or, if you could provide all of your insurance risk managers with the ability to analyze the risk profile of their claims with the power of search and automated insights?

Back in August, SmartBear acquired Stoplight, a leader in API design and documentation. Since this acquisition, our focus has been on seamlessly integrating Stoplight's open-source tools—Spectral, Elements, and Prism—into SwaggerHub. Our goal is to simplify complex API development tasks and address the common challenges encountered in API development.

Grape is a popular Ruby framework for building RESTful APIs. Exception handling plays a crucial role in ensuring the stability and reliability of any application, including those made with Grape. This article will explore the basics of Grape exception handling, including customizing exceptions. We'll also touch on some best practices, and how to integrate your app with AppSignal for enhanced error monitoring and management. Let's get started!

Data lakes can save your enterprise money but come with unique challenges. These tips will help you overcome three of the biggest issues.

When you think about improving your website, consider the impact user feedback can have. It comes directly from those who navigate and use your site. Let’s say visitors struggle to find information on your website. They may suggest adding a search function. Implementing their suggestion can dramatically enhance user experience. Such an update can make your site more navigable and efficient. It will allow users to find what they need quickly.

Organizations that monitor their LLMs will benefit from higher performing models at higher efficiency, while meeting ethical considerations like ensuring privacy and eliminating bias and toxicity. In this blog post, we bring the top LLM metrics we recommend measuring and when to use each one. In the end, we explain how to implement these metrics in your ML and gen AI pipelines.