Systems | Development | Analytics | API | Testing

Bugs don’t wait, and neither should your testing tools. As software grows smarter and faster, the race is on for solutions that can keep pace, efficient, dependable, and ahead of the curve. Open source testing tools are now an essential component of organizations (especially startups) that need to automate their quality assurance process without spending a hefty amount on testing.

Ever been curious about how your app is able to determine if an incoming request is coming from a trusted user or an attacker? In a world where APIs power everything from mobile apps to banks, securing the APIs that underpin them is no longer a nicety but a necessity. One vulnerable endpoint can open the door to data breaches, account takeovers, or even worse. That’s where API authentication comes in.

Every developer has been there, our code looks perfect on paper, passes all static checks, and seems bulletproof. Then the production cause hits, and suddenly everything falls apart under real user behaviour. The gap between “code that looks right“ and “code that works right“ is where dynamic testing shines. In this blog, we will learn about what dynamic testing is, why dynamic testing is needed in software development and how keploy assist in dynamic testing.

Most software testing aims to verify whether a system is functioning as intended. This is what is referred to as positive testing, or testing the "happy path." But what happens when users enter in the wrong input, skip required steps, or use your application in a way that you did not expect? That’s where negative testing comes in.

Katalon Studio is a famous tool for automated testing. Alongside other tools like Keploy, Selenium, Ranorex, TestComplete, and Apache JMeter, Katalon is gaining popularity among testing engineers. This platform supports automated testing for web interfaces, APIs, Windows desktop applications, and mobile apps on both iOS and Android. It offers various features, like test recording and can create analysis reports.

Imagine that you are baking a cake. You can do everything the hard way, manually: measuring flour, mixing batter, preheating the oven just right, or you can use a smart kitchen device that measures, mixes, and bakes for you with one touch of a button. Both are capable of making a great cake, but both have control, labor, and consistency sacrifices.

In today’s fast-moving tech world, businesses are looking for ways to build and ship applications faster without any hassle. That’s where low-code and no-code platforms come in. These platforms help us build software with ease, without much coding, so that a person with zero coding knowledge can develop software easily. If you are someone who wants to build something on your own using low code and no code platforms, this blog is for you.

In the microservices-and-API-first age of today, it’s more critical than ever that APIs be reliable and consistent. That’s where API contract testing steps in. It acts as a safety net for both API providers and consumers, ensuring that all parties are on the same page as to how an API should act before a line of integration code can ever ruin production. In this simple-to-understand tutorial, we will discuss what is API contract testing, why it is necessary, how it happens, and how to begin.

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?