Push code, not buttons.
Grade code automatically across 175+ languages. Start free.
Rubrics with autograder integration and class-wide statistics.
Multiple choice and code writing questions, graded automatically the moment students submit.
Configurable AI chatbot in the editor with content guardrails and full instructor visibility.
Line-by-line comments and reusable snippets for faster code review.
Native Canvas, Blackboard, Moodle, and Brightspace integration.
100+ pre-built assignments with autograding included.
Browser-based code editor with syntax highlighting, autocomplete, and built-in autograding.
Detect code similarity within your class and across semesters.
Graded peer feedback on real code submissions.
CS-graduate support team with unlimited onboarding.
Secure, auto-graded coding exams with IP restrictions and session lockdown.
Auto-graded prompt exercises for any CS course.
RESTful API for grading automation and course management at scale.
Keep your notebook workflow. Add grading that actually works.
Assign graders, navigate submissions, and combine manual review with auto-grading.
Kick off coding for beginners with hands-on practice and instant feedback.
Bring analytics to life with instant feedback and easy setup.
Simplify coding for new data scientists - no matter the class size.
Enhance AI learning with targeted feedback and guidance.
Build foundational Python skills with ease.
Give R students more feedback and spend less grading.
Powerful and flexible data science learning for more advanced courses.
Bring meaningful feedback to your Machine Learning course.
Flexible and powerful for complex projects.
Improve prompt creation with clear, consistent feedback.
Learn more about CodeGrade for Computer Science
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Using CodeGrade to grow a large introductory C++ course at UNLV without compromise.
Read about the solution to grading over 1,700 students' assignments at the University of South Carolina.
Learn how Professor Leslie Hendrix used CodeGrade to transform AI from a classroom challenge into a powerful teaching tool.
Teaching computer science can be both rewarding and challenging. For Angela Venable, an Assistant Professor at Ivy Tech, the challenge of grading—especially in a data structures course—became an opportunity to rethink how students engage with learning and feedback.
Three years ago, Eastern University had 200 students using CodeGrade—now, that number has grown to 1,500+. Assistant Dean Greg Longo and Director Jamie Andrews share how CodeGrade has scaled with them, improving engagement and freeing up time for teaching.
When students get instant, structured feedback, they learn faster and stay engaged. Patrick Totzke shares how he refined his teaching approach to make that happen.
"It allowed me to free up a lot of my time. Right now, 50% of the grade comes from CodeGrade and then I grade the remaining part of it."
See how CodeGrade has helped transform Introduction to Python for non-CS majors.
Explore how the University of Michigan is empowering students with real-time feedback. This interdisciplinary course gives students confidence in coding, no matter their background.
Using CodeGrade to effectively teach non-CS students Python and Data Science.
Discover how CodeGrade has been a game-changer for scaling courses at Stony Brook University.
Dr. Marwan Rasamny’s Java course at Delaware State University focuses on problem-solving, clean coding, and hands-on practice. With structured assessments and interactive learning, students build strong programming foundations. But how does the course tackle common coding struggles? Find out here.
Supercharging Web Development courses at one of the world's largest universities