Systems | Development | Analytics | API | Testing

Even the smallest code changes can carry hidden risks. A minor bug fix may end up breaking a completely different part of the project. That’s where sanity testing comes in. It provides teams a quick, focused approach to ensure that recent changes didn’t introduce new problems. In this blog, we will outline what sanity testing is, when it is used, how it is accomplished, and why it is important when working in fast-moving development cycles.

In today’s digital world, it is essential to be able to deliver high-quality software quickly. Test automation using special tools will automate repetitive test cases, which will give accuracy and speed up delivery. Test automation enables Dev Operationists by assuring continuous testing, which enables earlier bug finding and wider test coverage.

Most of the times teams spend their time testing that features work correctly under normal conditions. But do you know what happens when the database goes down,the network goes slow or a third party service stops responding? In this case, resilience testing solves this problem by intentionally breaking parts of your system to see how it responds to it. Instead of only testing perfect scenarios, you find real-world failures like server crashes, network issues and service timeouts.

In today’s rapid web development, faultless user experience is a requirement. Old school test tools tend to come up short with slow speeds, flakiness, and complicated setups. Cypress testing is a new-generation testing framework designed for the web with fast, predictable, and delightful testing for end-to-end, UI, and component-level tests – all in a browser-native context.

So we have all been hearing a lot about AI lately. Everyone is talking about ChatGPT, OpenAI, Claude, image generation, and now there is a new trend about “Agentic AI.“ I know it is getting confusing with all these fancy terms flying around us. Let me break it down for you in simple terms. You can think of this as your friendly guide to understanding the two biggest players in the AI game right now!

Artificial intelligence (AI) is widely used today, from voice assistants to Netflix recommendations, but AI models do not always behave as intended. Testing an app before it is released is standard practice, and similarly, AI models should be thoroughly tested. Testing an AI model can verify that the model’s decisions are accurate, fair, and safe.

AI coding tools are everywhere; they have changed the way we used to code. These days, people are doing vibe coding with the help of these tools. From suggesting code snippets to explaining errors in plain English, these assistants are becoming as common as Stack Overflow tabs. There are only two names that keep popping up in everyone’s conversation when it comes to AI coding tools: Cursor and GitHub Copilot. But here’s the real question: Cursor vs.

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.