Autograding tools are increasingly being integrated into computer science education to manage large classes and improve student outcomes. Professors like Dan Wallach from Rice University and Mike Zamansky from Hunter College have found that these tools not only save time by automating grading processes but also allow educators to provide more meaningful feedback on aspects that require human insight. By offering immediate feedback, autograding enhances student performance, as observed by Wallach, who noted a 20% improvement in grades. These tools also help reduce grading bias, providing a consistent and objective assessment, and can alleviate student stress by offering clear, impartial feedback. While Zamansky believes autograding is particularly beneficial for basic assignments, he acknowledges it accelerates students' path to proficiency. GitHub Classroom is highlighted as a platform that incorporates autograding, enabling educators to run tests on student submissions and provide constant feedback, thus enhancing the educational experience.