Empower academic excellence with comprehensive technical assessment

CodeSubmit for Universities

From computer science education to PhD admissions and research assistant hiring, CodeSubmit provides universities with the tools to accurately assess programming skills and foster academic excellence. Create real-world learning experiences that prepare students for industry success.

Computer Science Education

Classroom Integration

Transform your computer science curriculum with coding challenges that mirror real-world development practices. Students work with industry-standard tools and workflows, preparing them for successful careers in software development.

Real-world assignments: Replace artificial coding exercises with authentic software development tasks that students will encounter in industry.
Git-based workflow: Students learn industry-standard version control practices while submitting assignments through familiar Git repositories.
Multiple programming languages: Support for Python, Java, JavaScript, TypeScript, C++, and more - covering your entire curriculum.
PythonJavaJavaScriptTypeScript
+30 more languages
Automated grading: AI-powered evaluation provides instant feedback on code quality, functionality, and best practices.
Academic integrity: Built-in plagiarism detection and unique assignment variations ensure academic honesty.
CS 101 - Assignment 3
Due: Oct 15
Build a Todo App
• Create React components
• Implement state management
• Add CRUD operations
Student Submissions
Alice Johnson
Submitted
A-
Bob Smith
In Progress
---
Carol Davis
Submitted
B+

Interactive Learning & Office Hours

CodePair for Teaching

Enhance your teaching with real-time collaborative coding sessions. Perfect for office hours, tutoring, code reviews, and interactive lectures where students can follow along and participate in live coding demonstrations.

Real-time collaboration: Share your screen and code with students, allowing them to follow along and ask questions in real-time during lectures.
AI-powered teaching assistant: Built-in AI helps explain complex concepts, debug code, and provide instant answers to student questions.
Office hours made easy: Students can share their code with you instantly, making remote help sessions more effective than screen sharing.
Code review sessions: Conduct thorough code reviews with students, teaching best practices and proper software development techniques.
Live coding demonstrations: Build applications from scratch during lectures, with students able to access and modify the code afterward.
Office Hours - Live Session
Recording
debug_student_code.py
def fibonacci(n):
if n <= 1:
return n
# Bug: missing return statement
fibonacci(n-1) + fibonacci(n-2)
5 students connected
AI Assistant active

Graduate Program Admissions

PhD & Graduate Student Assessment

Evaluate prospective graduate students' programming abilities with comprehensive technical assessments. Ensure incoming PhD students have the coding skills necessary for research success in computer science, data science, and related fields.

Research-focused challenges: Create coding assessments that align with your research areas, from machine learning to systems programming.
Comprehensive evaluation: Assess not just coding ability, but problem-solving approach, code quality, and research potential.
Standardized assessment: Ensure fair and consistent evaluation across all PhD applicants with standardized coding challenges.
AI-powered insights: Receive detailed analysis of each candidate's technical strengths and areas for development.
Custom rubrics: Create evaluation criteria that match your program's specific requirements and research focus.
PhD Admissions Assessment
Computer Science Dept
Research Challenge
Implement a distributed consensus algorithm for your research area
48 hours • Python/Go
Candidate Evaluations
Sarah Chen
(ML/AI)
92%
Excellent
Michael Rodriguez
(Systems)
88%
Very Good
Emma Thompson
(HCI)
85%
Good

Research Team Building

Research Assistant Hiring

Identify qualified research assistants with coding challenges that match your research projects' technical demands. Whether you need help with data analysis, web development, or machine learning, find students with the right skills.

Project-specific assessments: Create custom coding challenges that directly relate to your research project's technical requirements.
Skill matching: Identify students with expertise in your specific technology stack, from Python data science to web development.
Portfolio evaluation: Review students' past work and coding style to ensure they're a good fit for your research team.
Collaborative assessment: Use CodePair to conduct live coding interviews and assess students' ability to work in a team environment.
Research integration: Seamlessly transition from assessment to actual research work with projects that serve as both evaluation and onboarding.
Research Assistant Matching
Active Projects: 3
Neural Network Optimization
Dr. Johnson
Python
PyTorch
CUDA
8 applicants
2 matched
Blockchain Security Analysis
Dr. Martinez
Solidity
JavaScript
Security
5 applicants
1 matched

Academic Pricing

Special Rates for Educational Institutions

We offer significant discounts for universities, colleges, and educational institutions. Contact our academic team for custom pricing based on your needs.

We've found with CodeSubmit, the process isn't just simple for candidates, it's also giving our hiring managers a better idea of potential job performance.

Cillié Burger
Cillié Burger
Chief Technology Officer @ Klar!
Cillié Burger