Systems | Development | Analytics | API | Testing

As a software testing professional, you know that efficiency is key. Whether you're reviewing your team's code or trying to understand complex test scripts, having a tool that simplifies these tasks can be a game-changer. Enter StudioAssist, an invaluable feature in Katalon Studio that can help you summarize and explain code easily. In this guide, we'll walk you through two essential use cases: generating a code summary and explaining your web test script. Let’s get started.

As a software tester, you constantly look for ways to streamline your workflow and enhance your testing capabilities. StudioAssist, an intelligent feature in Katalon Studio, is designed to make your life easier by automating repetitive tasks and generating efficient test scripts. This blog will serve as your cookbook, providing you with step-by-step instructions on how to harness the full potential of StudioAssist.

Background job processing is integral to modern software architecture. Background jobs allow resource-intensive tasks to be handled asynchronously, improving your application’s responsiveness and efficiency. You can use background processing for tasks such as sending emails, data processing, and batch jobs. If you were to run these synchronously, they could significantly degrade the user experience and system performance. Thus, most frameworks have libraries for running background jobs.

Whether you’re an independent software vendor (ISV) or enterprise-sized company, you want the analytics software you invested in to enhance your users’ decision-making, open up greater access to key data, and improve operational performance for the long-term. However, continuously achieving these business outcomes requires a modern solution. Many organizations still rely on older business intelligence (BI) tools for reporting due to long-term licensing.

In the ever-evolving world of software development, a well-defined test plan is the cornerstone of a successful Quality Assurance (QA) process. For QA professionals, testers, testers, and developers alike, a robust plan ensures comprehensive testing, minimizes risks, and ultimately delivers high-quality software. Traditionally, spreadsheets like Excel have been the go-to tool for crafting test plans. However, as projects grow in complexity, the limitations of spreadsheets become increasingly apparent.

In today's financial services landscape, the need for speed is paramount. Traditional financial processes are no longer sufficient to meet the demands of modern consumers and businesses. The synergy of three emerging technologies promises to expedite financial services processes: By implementing a data fabric, financial institutions can break down silos, enabling data to flow freely across the organization.

The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.

Navigate a shifting technological and regulatory landscape with confidence.

Welcome to day two of Koyeb launch week. Today we're announcing not one, but two major pieces of news: Our lineup ranges from 20GB to 80GB of vRAM with A100 and H100 cards. You can now run high-precision calculations with FP64 instructions support and a gigantic 2TB/s of bandwidth on the H100. With prices ranging from $0.50/hr to $3.30/hr and always billed by the second, you'll be able to run training, fine-tuning, and inference workloads with a card adapted to your needs.