Systems | Development | Analytics | API | Testing

Ever been confused about OpenAPI and Swagger? You’re definitely not alone. I were on the same line. These two terms get thrown around a lot in the API world, and honestly, it’s pretty easy to mix them up. It was driving me crazy! In this blog, we are going to talk about what is OpenAPI and Swagger Schema, how they are different from each other, their advantages and disadvantages and lots more. Trust me, by the end of this, you’ll be the one helping other people understand this mess.

Visual regression tests have effectively enhanced the consistency of the UI maintenance by teams. It improves the quality of the user experience, lowers the possibility of UI bugs in production, saves hours of manual quality assurance activities by automatically detecting unintentional visual changes in web applications.

In this day and age of the world wide web, users don’t wait around – neither should your app. Imagine your site going viral overnight, or a flash sale that generates thousands of users overnight. Will your server crash or expand with confidence? Welcome to Spike Testing. In this blog, we’ll explore what spike testing is, why it matters, how to do it right, and how tools like Keploy can help make your tests more stable and meaningful.

While REST APIs and JSON responses are dominant in the API space today, SOAP might seem like a relic of the past; in fact, it is still relevant and a great candidate for a SOAP API type of project. SOAP is still considered the gold standard in many areas, from banking systems to healthcare applications, particularly where secure, contract-driven communication is concerned.

APIs (Application Programming Interfaces) and SDKs (Software Development Kits) are vital components of modern software development. APIs enable applications to communicate and exchange data, while SDKs typically provide a comprehensive toolchain, libraries, and documentation to build features as robust as possible, or even an entire application.

In a fast-paced developing world, quick prototyping and rapid prototyping are necessary. One method of developing applications quickly especially for those who weren’t traditionally developers is to use visual scripting. Visual scripting is a method of developing applications without conventional coding.

An uninterrupted user experience often relies upon AI assistants which are working normally; we must better facilitate AI assistants’ integration into our daily lives and work by ensuring that the AI assistants operate as intended. Testing and validation is necessary to help you refine the interaction.

Ever since AI tools came into the picture, it has transformed a lot of industries. An industry most evolved due to this revolution of AI is the software Development industry. There have been discussions about AI for coding being so good that it holds the potential to replace developers, which might be debating but precisely a false claim.

You will encounter debugging while developing backend systems, web applications, or automation scripts – it’s an inevitable step in the development life cycle. Debugging is a necessary step preceding any delivery of a software product. The Python ecosystem academic is different in that you may not see your errors until you are running the code. Having a stable way to debug your Python code is very important for continuing your development journey.

Amazon S3 became the de facto standard for storing objects due to its cheap price, and it’s designed for high durability, with a 99.999999999% durability guarantee. We can talk a lot about Amazon S3, but today in this blog, let’s see how to upload a file to S3 using the REST API. I hope most of you have tried using the SDK approach with boto3, but today let’s see the different ways to upload a file to S3 using the REST API and guess what, we’ll see a demo as well.

If you’re in QA or a developer who’s been looped into test automation, chances are you’ve heard the term UFT tossed around. Maybe you’ve worked with it back in the day when it was called QTP (QuickTest Professional), or maybe you’re hearing it for the first time amidst all the buzz around Selenium and Cypress. But here’s the thing: UFT (Unified Functional Testing) isn’t some relic of the past.

If you are a developer that is running Cursor as your IDE, you have probably had the ability to experiment with different AI agents in pursuit of productivity. One of the most exciting new offerings is DeepSeek V3 is open-source LLM, with added capabilities for code generation, reasoning, and multi-turn conversations.

You have probably seen pages where fresh information loads in without a page reload, or some forms that submit without an apparent refresh. What is happening here is that API calls are being made to send and receive information in background. API calls generate seamless and responsive application experiences. In this introductory tutorial, you will learn to examine an API call in the Chrome DevTools; replay it in Python, and sanitise the Flask REST API data for safe and organised input into the database.

In an increasingly connected digital ecosystem, with applications allowing for smooth communication across platforms and services, it is important to understand what is API testing in order to maintain the delivery of reliable software solutions. API testing is foundational to modern software assurance, effectively auditing the invisible bridges lending themselves to data us and functionality between different software components to ensure they are working optimally numerous conditions and scenarios.

The complexity of software continues to increase as teams adopt microservices, APIs, and cloud-native architectures. Manual testing is no longer able to keep up with the speed of continuous releases. QA teams are dealing with increasing pressure to not only assure software quality but to do so in a shorter cycle time. This is where AI Testing Tools can provide a solution. AI-powered testing takes advantage of machine learning, predictive analytics, and self-healing features.

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.

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.

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.

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?

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.

As software systems become distributed, scalable, complex and dynamic, observability tools become essential to ensure smooth functioning of the systems, early detection of the issues and quick resolution. Sentry and Datadog are two main observability tools which is used in the modern DevOps workflow. Let’s see the detailed comparison of Datadog and Sentry in this blog.

Coding isn’t just a chore anymore – it is an experience. With the rise and advancement of AI-driven coding tools, developers are now able to enjoy what Andrej Karpathy calls "vibe coding" – a state where we turn off our control and let the tools vibe with us. In this blog post we are going to discuss how we can tap into vibe coding to ship faster, feel creative, and stay in flow.

In the field of agile development, software testing can be a difficult task. Much of the exhaustive testing is conducted manually, which can slow release schedules, as well as make errors more likely. Selenium is a great fit here. Selenium is an open-source tool that allows you to automate web browsers, which, one could argue, serves to speed up testing by allowing test cases to run quickly.

The concept of integral test on convergence may very well be one of the most valuable tests when it comes to calculus, of whether an infinite series is convergent or divergent. Integral test relates series to an improper integral and is systematic with regard to finding convergence of series, especially when dealing with nice functions.

Creating a modern React application can be intimidating- it’s like building a skyscraper. The finished product can be beautiful, but if a square-foot section of the foundation is weak, you have a big problem. Just like a skyscraper, developers have weak points – those points are bugs. The way the average developer finds bugs today is like trying to find a wire that is faulty by randomly drilling holes into the drywall of a skyscraper. Not very helpful or efficient.

Software teams have to move quickly, deliver perfectly, and be able to adapt to changes right away in today’s fast-paced world. The bar is high: regular updates, few bugs, and no downtime. Are you trying to do all of this by hand? That’s a sure way to get burned out and stuck. That’s where automation tools for DevOps come in. These tools don’t want to take our jobs; they want to make us stronger.