Keploy Blog Website
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Top 10 Tools for Integration Testing in 2026
Integration testing tools verify that separate modules or services work together correctly through their interfaces. They automate multi-component test flows, manage test data, and mock dependencies. Widely used tools include Postman, JUnit, and Citrus, plus Keploy, which records real interactions to generate integration tests and mocks automatically. Modern applications depend on multiple services, APIs, databases,…
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State Transition Testing: Diagrams, Tables & Examples
State transition testing is a black-box technique that validates how a system moves between states based on events – not just whether individual actions work, but whether the correct state is reached, invalid transitions are blocked, and the right output returned at each step. It’s most valuable for auth flows, payments, order lifecycles, and subscriptions.…
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Security Testing Explained: Protecting Modern Applications and APIs
Security testing helps identify weaknesses in software before attackers can exploit them. It protects sensitive data, ensures system stability, and controls user access. With web, mobile, and API-based applications growing rapidly, security threats are increasing. Security testing helps teams detect risks early, prevent breaches, and meet compliance standards. In this guide, you will learn what…
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Software Testing Strategies: Types, Examples, and Best Practices for Dev Teams
A software testing strategy defines how, when, and what to test across a project, spanning test levels, functional and non-functional types, and approaches like automation, risk-based, and shift-left testing. Within the automation piece, Keploy reduces manual effort on API and integration tests by generating both the tests and their mocks from real traffic. Software testing…
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Software Testing Basics Simplified: A Guide For Beginners (2026)
Software testing basics are the shared vocabulary and principles – defect vs failure, verification vs validation, test levels – that turn ad hoc checks into a process teams can trust. Most beginner confusion isn’t about picking test types; it’s these fundamentals staying unclear. The fix: one high-impact flow, a mix of positive, negative, and boundary…
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Copilot vs Cursor: A Complete AI Coding Assistant Comparison
Coding with artificial intelligence is not just a nice-to-have; AI applications in computer programming are becoming integral to modern computer programming workflows. Presently, two primary applications dominate the discussions in this area: GitHub Copilot and Cursor AI. While both applications provide faster coding times and fewer bugs, fewer bugs, and smarter code, they offer such…
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Software Quality Gates: Benefits, Use Cases & Best Practices
Software quality gates are automated pass/fail checkpoints in CI/CD pipelines that block code from progressing unless it meets predefined thresholds – coverage minimums, zero failed regressions, no critical vulnerabilities. They replace subjective debates with objective pipeline signals. Teams increasingly gate on API schema and business use-case coverage – the layer where Keploy’s traffic-based testing adds…
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What Is Delta Testing? How It Works, Benefits & Examples (2026)
Delta testing validates only the changes between software versions, not the entire application, making it faster than full regression for frequent CI/CD releases. It runs after smoke testing gates the build, focusing specifically on what changed. For API-driven systems, Keploy supports this by recording real traffic from one version and replaying it against the next…
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How to Use Copilot in Software Testing: A Practical Guide for Testers
Software testing is critical in assessing the quality of apps, testers oftentimes have to deal with limited resources when it comes to creating tests, as well as repetitively creating tests for all feature coverage. These factors lead to a significant reduction in both the speed of development and efficiency in the testing process. GitHub Copilot…
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How VPS Architecture Solves the Problem
Learn how VPS architecture solves common hosting problems like shared resource contention, limited root access, and poor scalability for growing web applications.