Keploy Blog Website

  • Best AI Coding Tools in 2025: Top Assistants for Developers

    Best AI Coding Tools in 2025: Top Assistants for Developers

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    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…

  • Why Traditional API Testing Fails? Comparing Shadow, Production, Replay Techniques

    Why Traditional API Testing Fails? Comparing Shadow, Production, Replay Techniques

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    I want to share the story of how our team at a fast-paced startup tackled the challenge of API testing without any dedicated QA team, the roadblocks that we encountered, and how we ultimately addressed these issues. Baseline Challenge We had 15-day sprints including mandatory unit and API testing. Initially, we relied on automated testing.…

  • Why I Switched to Table Driven Testing approach in Go

    Why I Switched to Table Driven Testing approach in Go

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    Unit Testing, specifically table driven tests, have gained significant popularity in recent years due to their ability to eliminate repetition and enhance test clarity and maintainability. By organizing test cases into a structured format, table driven tests provide a systematic way to reuse the same values across different unit testing scenarios efficiently. What is Table…

  • How to Use Software Testing Metrics to Drive Better QA Decisions

    How to Use Software Testing Metrics to Drive Better QA Decisions

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    Why do some QA teams consistently deliver reliable and high-quality software, while others toil to identify bugs and experience unstable releases? The real difference often is related to how easily the team is able to use software testing metrics to make measurable decisions. Often, the testing process turns out to be a routine checklist activity…

  • Load vs Performance vs Stress Testing: Differences & Examples

    Load vs Performance vs Stress Testing: Differences & Examples

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    Load testing, performance testing and stress testing are often mixed up, but in today’s CI/CD pipelines and production-grade engineering, they are solving completely different purposed. If you want to: Decrease downtime for peak traffic Identify bottlenecks before users do Avoid crashing the system with sudden traffic spikes Build APIs and applications that are FASTER +…

  • Retesting Explained: Definition, Steps, and Real-World Examples

    Retesting Explained: Definition, Steps, and Real-World Examples

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    After some testing and bug fixes, one common question always remains: how do teams make sure that those defects are truly resolved, and no new regressions creep in? That’s where retesting testing becomes vital. Retest testing forms a very important aspect of any QA cycle, ensuring that the reported defects are fixed and working correctly…

  • Modified Condition Decision Coverage (MC/DC) Explained

    Modified Condition Decision Coverage (MC/DC) Explained

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    What if a single, untriggered logical flaw could compromise an autonomous vehicle’s braking system or ground a commercial airliner? The stakes are unbelievably high with safety-critical software. Traditional code coverage metrics, however, often fail to test the subtle, complex dependencies within a single decision. Knowing that a line of code executed isn’t the same as…

  • Speed Up Your Development Cycle With Feature Driven Development

    Speed Up Your Development Cycle With Feature Driven Development

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    In today’s fast-paced software industry, delivering high-quality applications quickly is a top priority. Development teams are constantly seeking methods to streamline their processes without sacrificing quality. One approach that has gained considerable attention is Feature Driven Development (FDD). This methodology focuses on developing software by building features in a structured, incremental manner, resulting in more…

  • What Is an API Endpoint? (Complete Guide for Developers & QA Testers)

    What Is an API Endpoint? (Complete Guide for Developers & QA Testers)

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    An API endpoint is a defined URL or path where an API accepts a request from the client, such as a web app, mobile app, automation script, or AI agent, and sends back a response. It serves as the official communication point between the frontend and backend. In other words, if an API is a…

  • What is Monkey Testing in Software Testing? Types, Tools & More

    What is Monkey Testing in Software Testing? Types, Tools & More

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    What happens when an inquisitive, unpredictable user, without manual or training, just begins clicking and typing in your application? Will everything handle the unpredictability gracefully or crash prematurely? This chaotic scene is not hypothetical in the field of Quality Assurance (QA); it is actually an established testing technique called Monkey Testing. While structured testing is important,…

  • PyCharm vs VS Code — Which Python IDE Wins in 2025?

    PyCharm vs VS Code — Which Python IDE Wins in 2025?

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    For Python developers, the choice of IDE isn’t just a preference — it’s a productivity multiplier. From debugging and linting to virtual environments and CI/CD automation, your IDE defines how smoothly your workflow runs. As Python continues to dominate data science, web development, and AI, PyCharm and VS Code remain the two top contenders. Both…

  • What Makes Jest Testing the Top Choice for Front-End Development?

    What Makes Jest Testing the Top Choice for Front-End Development?

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    Code stability and reliability can be a concern when building front-end applications. As web applications become more complex, web developers require a test framework that is simple yet incredibly powerful. This is where Jest testing comes in handy. Jest is a testing type designed and maintained by Facebook, which is already the ideal tool for…

  • What Is a Traceability Matrix and How to Use It Effectively?

    What Is a Traceability Matrix and How to Use It Effectively?

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    Have you ever ended a testing cycle and been disappointed to discover that a critical requirement had not been tested or had even been implemented? If so, you are not alone. It’s a common problem for software projects, especially when they become complicated. Identifying which requirement was tested and validating what was not tested seems…