Author: Himanshu Mandhyan
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API Automation Testing: A Practical Guide for 2026
APIs (Application Programming Interfaces) power nearly every modern digital experience, from mobile apps and online payments to AI-driven services and real-time data processing. As software systems increasingly rely on microservices and distributed architectures, the number of API interactions continues to grow, making reliability and performance more critical than ever. In 2026, automated API testing has…
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DevOps Testing: Ensuring Quality in a Continuous Delivery World
In today’s fast-paced software environment, getting product features out the door quickly is the minimum. Getting features out the door quickly + with reliability is what separates high performing teams opening up larger opportunities. This is where DevOps testing comes into play, testing not just at the endpoint of the development + operations lifecycle but…
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API-First Development: The Complete Guide
In today’s world of software development, API-first has become more than a trend it is a best practice that allows teams to build scalable, modular and best of all future-ready applications. In an API-first approach, the Application Programming Interface (APIs) are not an afterthought, they are envisioned, documented and agreed upon before the development of…
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REST API Testing: Strategy, Automation & Best Practices
In the digital-first world of today, many applications depend on RESTful APIs as the connectivity placeholder: whether between microservices, mobile applications, third-party integrations or SaaS platforms, it is important for ensuring these APIs are reliable, secure and performant. This is where you can utilize REST API testing. No matter your role as a developer, tester,…
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Generative AI Testing Tools: The Next Evolution of Test Automation
In the last ten years, software testing has advanced significantly, but today’s applications require more than just using conventional forms of automated software testing or entry-level tools that employ artificial intelligence (AI). The rise of microservice architectures, API calls, and continuous deployment has led to another category of software testing products called "Generative" AI Testing…
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AI Testing: A Complete Technical Guide to Intelligent Software Quality
Testing is a very important and necessary step in the SDLC, but most teams ignore it or don’t care much about it, while some teams spend most of their time on testing instead of building features. AI is really changing the way we write code, but most people use it mainly for writing test cases,…
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Scenario Testing: A Complete Guide for QA and Software Teams
In contemporary software engineering, it is not sufficient to simply confirm that software applications function perfectly across all features – they also need to behave correctly with real users in real worlds. In this context, scenario testing has a significant role to play. Scenario testing fills the gap between functional testing and real user experience…
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What Is a Test Environment? A Complete Guide for Developers
A test environment is a controlled setting that includes software, hardware, network configuration, test data, and testing tools, where applications can be set up and validated before they are delivered to real users. It can be understood as a safe space for developers and QA engineers to do an assessment of how an application performs…
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Test Recorder: The Fast-Track to Codeless UI Test Automation
Introduction Software teams today are routinely under pressure to release features more quickly, while keeping quality in check, in today’s fast-paced digital ecosystem. Automation testing enables teams to develop this balance; however, most teams find that writing and maintaining test scripts becomes a heavy burden with technical complexity, and takes time away from building features.…
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Load vs Performance vs Stress Testing: Differences & Examples
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 +…