David Adamo Jr.

End-to-end (E2E) tests naturally trend toward uselessness.

AI has made it easier to write code, but harder to know whether the code is correct.

We used to rely on compilers for clarity.

AI coding tools are brilliant at creating new code.

AI-generated tests don’t ensure correctness.

The Texas Sharpshooter fallacy describes a bias where patterns are forced to fit preconceived beliefs.

Expecting your work to speak for itself may be one of the reasons why you are not getting the career progression you deserve.

When you understand basic statistics, some things in life start to make a little more sense.

You don't have to wait till you're an expert to teach others what you've learned.

Unless you are fuzz testing or your goal is to create property-based tests, test data generators (a.k.a. fakers) are likely to do more harm than good in the long run.