Model-based testing is the basis of more unified, less error prone, development process. It impacts requirements, coding and testing.

What happens when we send HTTP requests? What’s being really passed there? We’ll look under the hood of CUrl and Postman.

What we call “Testability” is really made up of properties. This post on reproducibility is part of a series of the four pillars of testability.

This is the introduction to the API Series of videos. This one’s the first video, explaining what are APIs. Ilso ask for ideas for the next videos.

What we call “Testability” is really made up of properties. This post on controllability is part of a series of the four pillars of testability.

Recording of Postman introduction. I’m going over the structure of APIs, jump into Postman, how it helps test APIs, where it shines, and when not

What we call “Testability” is really made up of properties. This post on observability is part of a series of the four pillars of testability.

Gil Zilberfeld discusses testability in different levels – code, design and architecture. What testability is, and how we percieve it.

The”Refactoring Without a Net” from Python Web Conference deals with refactoring towards goals, like adding a feature, and improving code readability.

Dive into the world of API Testing and Observability with industry experts Gil Zilberfeld and Todd Gardner. In this interactive webinar, talk about what is observability, and how we can not only see what’s happening, but also feed it back into the product design and quality.