How can we log in our system that uses keycloak to authenticate for with cypress? I describe my code to log on without the user interface.
As I embark on my journey to learn TypeScript, a statically typed superset of JavaScript, I’m excited to share my newfound knowledge about typescript.
We do API testing to ensure that the functionality and reliability of your application is correct. While testing the replies of the REST calls, you need to filter the JSON response data to extract the relevant information.
One common practice found in many Scrum teams is the use of a test column on their Scrum board. While the intent behind it good, to streamline the testing phase, there are compelling reasons to reconsider the necessity of this column.
Sustainability is in this era a big topic in the news. While many of us might not immediately associate software testing with ecological preservation, the truth is that software testers play a role in the pursuit of a sustainable future.
While squashing commits can seem like a tidy way to keep a clean and linear Git history, there are strong arguments for why keeping commit history intact is often the best choice.
In my last post, I explained the technique of rubber duck debugging, where you can explain your code and testcases to an inanimate object to uncover and resolve issues. This time, i take rubber duck debugging to the next level by using ChatGPT as a virtual rubber duck.
Debugging is an integral part of the software development process. It involves identifying and fixing issues or bugs in a program’s code to ensure that it functions as intended. Developers often employ various techniques and tools to streamline this process, but one unconventional and surprisingly effective approach is rubber duck debugging.
I already explained in a previous blog post why API Testing matters more than GUI testing. While there are various tools available for API testing, Cypress can test API’s too.
As artificial intelligence (AI) and machine learning (ML) continue to advance, self-learning systems have become increasingly common. These systems can adapt to new data and learn from their own mistakes, making them highly effective in a wide range of applications, from fraud detection to speech recognition.
