Systems | Development | Analytics | API | Testing

In today’s digital world, user experience (UX) plays a key role in a product’s success. Studies show that 88% of online users are less likely to return to a website after a poor experience.

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

ATLANTA, GA - November 2024 - Katalon, a leading provider of software test automation solutions, is thrilled to announce it ranked 111th on the Deloitte Technology Fast 500, a ranking of the 500 fastest-growing technology, media, telecommunications, life sciences, fintech, and energy tech companies in North America. Katalon grew 1073% over the past three years, solidifying its position as a driving force in the evolution of software testing.

In the realm of software development, Application Programming Interfaces (APIs) serve as the backbone for communication between different software systems. As APIs become increasingly integral to modern applications, ensuring their reliability and functionality is paramount. One crucial aspect of this is testing API endpoints thoroughly. In this guide, we’ll delve into API endpoint testing, exploring its importance, best practices, and tools to streamline the process.

The world of software development is undergoing a huge transformation, due to the emergence of artificial intelligence (AI). AI-powered tools and methodologies are reshaping how we write, test, and deploy code, which is making our programming faster, more efficient, and more accessible. In this blog, we’ll explore the concept of code with AI, its applications, benefits, and its potential to redefine the future of technology. So, let’s dive in!

AI is becoming a part of our everyday lives, and in the software testing industry, it is starting to show its impact as well. Traditional testing methods can often happen at a later stage of the development life cycle, which may present challenges for meeting the demands of modern software delivery. This is where shift-left testing comes to shine. This testing methodology has become one of the most used strategies for delivering high-quality software without missing bug findings along the way.

Business leaders are worried that despite their fervent enthusiasm for building innovative solutions, they haven’t been able to explore even half of the possibilities that digital has to offer. This anxiety has made CXOs desperate to associate with keywords like Generative AI, multi-cloud, SaaS, and more. However, accommodating these big technologies in a rush often comes at the cost of quality.

Black Friday is when eCommerce sites face their toughest critics: deal-hunting shoppers with zero patience for glitches. Were you aware that 47 of visitors anticipate a website to finish loading within 2 seconds? Even more concerning, half of the visitors will leave a sluggish website and switch to a competitor. One crash during busy times can lead to significant financial loss and permanent harm to your brand's image.

Over the past month, our primary focus has been on fixing bugs (you can check our Wiki for details on those), however, we do also have some new functionality to offer - the ability to apply labels not just to tests, but to test runs as well, as well as some other improvements.

Today’s software testing trends show the growing demand for more efficient and automated API testing. Manual testing is not only time-intensive for internal testing teams, it can also lead to poor customer experiences. When manual testing processes cannot proactively discover issues, your customers may inevitably be the ones finding them. Many of the current test automation solutions today focus on the UI, while most API-level testing is still done manually.