Systems | Development | Analytics | API | Testing

In the world of web application testing, end-to-end (E2E) testing frameworks play a critical role. They allow teams to automate tests that simulate real user interactions, ensuring that applications behave as expected from start to finish. Two of the most popular tools in this arena are Playwright and Cypress. Both tools are designed for modern web apps but vary significantly in their approach, features, and capabilities. In this article, we’ll explore Playwright vs.

Our new research shows AI adoption is high across software testing workflows. But AI isn’t (yet) paying off in ways that matter to software teams using open-source testing frameworks like Selenium, Cypress, and Playwright. Open-source teams using AI are still spending just as much — if not more — time on painful test writing and maintenance tasks than ones not using AI. Contents Toggle.

Do you want the benefits of contract testing with much less effort? Are you convinced of the benefits of contract testing but think it’s just too difficult to roll out across your organization? You might worry that implementing Pact in your organization requires challenging changes to culture and process. In this article, I’ll show you a drastically simplified approach to contract testing that a single developer can bring online.

Data analytics and business intelligence (BI) are key for driving informed decisions, and today's best solutions make use of artificial intelligence (AI) to help users along the way. AI chatbots, powered by natural language and machine learning (ML), are one such intelligent tool that can quickly analyze large datasets, helping your business users find helpful answers to queries, get recommendations, and even uncover valuable insights.

Imagine you are a software developer and you are buzzing with excitement because you've just deployed a new feature at work. But suddenly, you hear whispers of a critical bug in the old functionality. That gut-wrenching moment reminds us how important it is to know when regression testing should be performed.

Legacy applications pose multiple problems for data-driven organizations like yours. Outdated software might no longer receive support and maintenance from its vendor or might not integrate with modern technologies like cloud computing. Still, these applications are essential for day-to-day business tasks, and replacing them could impede productivity and profitability.

When developing an Elixir app, you'll often need to handle tasks in a way that does not interrupt the normal user request-response cycle. Tasks like sending emails are great examples of jobs that should be delegated to a capable background job processing service. In the Elixir ecosystem, Oban is one such background job processing library. In this article, we'll learn what Oban is, how it works, and how to instrument it using AppSignal.

Speed is everything in today's fast-moving business world. For software developers, this means the race is on to get new apps to market faster and better than competitors. In light of this constant pressure to deliver, it's no surprise that the demand for hybrid development continues to rise. After all, with one codebase that runs on multiple platforms, how can you go wrong? In reality the choice is not always so clear-cut.

Have you ever wondered why claim processing often takes so long? Or why so many errors happen in what should be a simple process? In fact, research shows that manual claim processing can lead to up to 30% errors and 50% higher costs due to inefficiencies. These delays don’t just frustrate customers- they also slow down business operations and impact revenue.