Systems | Development | Analytics | API | Testing

Starting a newsletter from scratch is a laborious and time-consuming process. You have to develop structure, tone, copy, layouts, visuals, and so many other things before you can send out your newsletter. But what if you could use AI to automate this whole process? Well, ChatGPT can empower you to create newsletter templates that are reusable, customizable, and effective, in a matter of minutes!

Fast-paced development environments can no longer afford to treat quality assurance as an afterthought, and that’s why fitted into the development cycle. One of the most efficient methods available for evolving your testing strategy, is Data Driven Testing(DDT). But, what is data driven testing, and why is essential to automated QA pipelines?

With the speed of software development today, security is no longer an after-thought, it is a requirement. Cyberattacks are increasing, and the discovery of vulnerabilities in source code can lead to significant risk for organizations. Code scanning, or scanning code for vulnerabilities, is the answer. Code scanning is an essential practice in DevSecOps in which developers find, fix, and secure code before it reaches a production environment.

Imagine deploying a sparkling new feature in your app that performs flawlessly in testing, but when it goes live, it all comes crashing down. Orders won’t process, data won’t sync, and ultimately, the users encounter dead ends. What is wrong? Most typically, the problem is with the APIs not doing what they are supposed to. This is exactly what API functional testing guards against.

In software product development, many teams tend to ignore quality metrics and focus more on quantity. Such teams face challenges when building for production. They end up pushing to production very low-quality software that is filled with bugs. These bugs alone irritate and drive away product users. In 2022, research done by the Consortium for Information and Software Quality (CISQ) revealed that the cost of poor software quality in the US has grown to at least $2.41 trillion.

Software development is a field that never stands still; whether it is new features, bug fixes, or performance improvements, whatever code you change has the potential to break the software functionality that currently exists. To combat the risk of accentuating existing software functionality when making changes during software development cycles, companies often employ Software Regression Testing Services.

Selecting the appropriate browser for web testing is crucial when testing for cross-browser compatibility. Developers and QA personnel use browsers to recreate user environments and uncover potential problems. This guide details the most popular browsers to test and information on what makes them effective.

Today in a world of high paced software development speed and stability are not a trade off anymore, but a necessity. Developers feel constant pressure as they have to provide new features faster, combine third-party tools, and scale apps without crashing something in production. These requirements have seen the proliferation of two tools that need to be present on every developer toolkit: RapidAPI and Keploy.

APIs have become the backbone of communication between applications in today’s software-oriented world. Digital systems are increasingly complex due to the proliferation of microservices and distributed systems, making API testing both efficient and crucial. A recent study projects the API testing industry to grow from USD 4.92 billion in 2025 to USD 27.38 billion by 2034, reflecting a compound annual growth rate (CAGR) of 20.99% during the 2025-2034 timeline. Source: Market Research Future.

React Hooks changed the way we compose components, but testing them can be a mess—especially if you’re using asynchronous data, having side effects that require cleanup logic, or need to check dependencies from React Context. The react-hooks-testing-library (deprecated now in favor of testing-library/react) solves all of these problems, allowing developers to test hooks in isolation, configured for specific behavior.