2023-2024 Winner

Codesafe

Creating a scenario-driven software engineering learning experience

United States of America
Track:
Adult Learning

Prize Level:

Catalyst Prize

Project Description

Codesafe is a computer science education platform focusing on code comprehension and software security to address current gaps in traditional computer science curricula, which have not yet leveraged the rise of AI programming assistants. Its main features include regular learning modules for all skill levels and backgrounds, scenario-based challenges, and a custom programming assistant to facilitate learning. The scenario-based challenges will be modeled after real-world software engineering experiences. Codesafe provides an accessible and guided opportunity for anyone looking to reskill/upskill in the software engineering field and is available at no cost.

Meet Our Team

Steven Ngo

Software Engineering Ph.D. Student

Joshua Garcia

Assistant Professor

Jessy Ayala

Software Engineering Ph.D. Student

Phase II of the 2025 Tools Competition is open. Proposals are due Jan 16, 2025.