Keploy Blog Website
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Test Automation 2030: Rethinking Test-Pyramid Strategies for the AI-Era
Manual testing can’t keep up with today’s fast-moving, AI-powered software development. Test automation isn’t just about saving time-it’s about surviving in a landscape where releases happen daily and bugs can cost millions. Now since AI-generated code is increasing, quality control and ownership becomes more important. From the classic Testing Pyramid to modern takes like the…
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Regression Analysis: The Key to Smarter, Data-Driven Decisions
In the age of data, numbers have to be meaningful in a bid to inform intelligent choices. Regression analysis is a great statistical tool utilized to reveal the interconnectedness among variables. From forecasting sales to having knowledge of medical outcomes, it converts raw data into practical knowledge. It assist businesses and researchers in accurately estimating,…
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Understanding Sanity Testing: A Practical Guide for Modern Development
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…
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What is Test Automation?
In today’s fast-paced software landscape, delivering high-quality applications quickly is more important than ever. Test automation plays a crucial role by streamlining repetitive and time-consuming test cases, improving accuracy, and accelerating release cycles. In this blog, we will explore what test automation is, how it works, and the most popular tools available in the market…
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Why Apps Crash and How Resilience Testing Can Help
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…
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Understanding the Differences Between Agentic AI vs Generative AI
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…
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Cursor vs Github Copilot: Which AI Coding Tool Should You Use?
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…
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AI Model Testing: Building Trust in Intelligent Systems
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.…
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OpenAPI vs Swagger Schema: What’s the Difference?
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…
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Understanding and Using gRPC Error Codes: A Comprehensive Guide
Has your gRPC service thrown a RESOURCE_EXHAUSTED error right when your boss was explaining to the investors? As we know, one minute everything is working perfectly and the next minute I am frantically trying to decode what feels like a disaster while everyone stares at a blank screen. Here is what I have learn. gRPC…