Keploy

The teams adopting AI coding tools fastest are often the ones whose testing infrastructure falls furthest behind. Code that would take a developer a day to write now takes minutes.

A test suite that passes consistently against a sandbox testing tool and fails in production isn't a fluke.

Keploy, the open-source AI-powered API testing platform, has published a guide to Behaviour Driven Development (BDD) as part of its software testing glossary.

Two teams working on adjacent services in the same system shouldn't need to coordinate their testing schedules. But without service virtualization, they do. One team can't test their service until the other team's service is stable enough to call.

Playwright API testing started as a browser automation framework and grew into something more. Its built-in API testing module lets teams send HTTP requests, validate responses, and run checks against live endpoints without opening a browser at all.

Dependency mocking and service virtualization are two of the most frequently conflated concepts in software testing.

When engineering teams calculate test automation ROI, they almost always start with time saved on manual testing. That number is real. It's also incomplete, and in many cases it's the smaller half of the actual return.

Engineering teams working across modern development pipelines routinely use both sandbox testing and QA environments, but the two serve fundamentally different purposes.

As teams adopt cloud-native architectures with complex service dependencies, the environment tests run on has become a common source of failure. Results often fail because of the ground tests run on, not the code.

The latest resource from Keploy helps developers and QA teams build reliable distributed applications with proven microservices testing strategies.