Removing identifying information from code submissions (i.e., practicing "blind" code reviews) can counteract implicit biases related to age, gender, or reputation. Reviewers are thus more likely to focus strictly on code quality rather than personal attributes.

Removing identifying information from code submissions (i.e., practicing "blind" code reviews) can counteract implicit biases related to age, gender, or reputation. Reviewers are thus more likely to focus strictly on code quality rather than personal attributes.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.