Keploy Blog Website
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What is Random Testing in Software Testing?
Random testing is a black-box technique that feeds randomly generated inputs into software to uncover defects that structured test cases might miss. By exercising unexpected combinations and edge cases, it reveals crashes, exceptions, and boundary failures. It is usually automated and underpins related approaches like fuzz testing and property-based testing. Software testing is so crucial…
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End-to-End (E2E) Testing: Types, Tools & Best Practices (2026)
End-to-end (E2E) testing validates an entire application workflow from start to finish, exactly as a real user would, exercising the backend, database, and integrations together. Playwright handles the browser side, while Keploy captures real traffic at the API and service layer and turns it into repeatable tests and mocks, cutting the manual effort E2E suites…
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TypeScript vs JavaScript : Choosing the Right One
When I first started building websites in 2021, the decision to use JavaScript was an easy one – it was strong, well-documented, had a good community and seemed straightforward. I can recall many late nights debugging runtime errors that could’ve easily been picked up at compile-time, grappling with type coercion, and losing my mind trying…
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The Complete Guide to Low Code Automation: Everything You Need to Know
Low code automation promises to be more palatable and less time-consuming. There is a wide range of technology options for low code automation; as more "no code" tools become available, and more tools that claim to be "low-code" are rolling out on the market, it is rational for developers to become worried in terms of…
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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
Regression analysis is a statistical method for modeling the relationship between a dependent variable and one or more independent variables. It estimates how changes in the inputs affect the outcome, enabling prediction and trend analysis. Common types include linear, multiple, and logistic regression, all widely used across data science and analytics. In the age of…
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Understanding Sanity Testing: A Practical Guide for Modern Development
Sanity testing is a narrow, focused check after a bug fix or minor change – verifying the fix works without breaking related functionality, without a full regression run. Unlike smoke testing, which is broad and shallow, sanity testing is deep but scoped to what changed. It’s the fastest gate between a fix and deeper testing.…
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Test Automation: Complete Guide, Tools & Frameworks for 2026
Test automation is the use of tools and scripts to run tests, validate outcomes, and report results without manual effort on every build. The goal isn’t to automate everything – it’s repeatable validation of the right layers. Most teams get the most signal from API and integration tests in CI, where tools like Keploy generate…
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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…