A contribution to open source or a production system: from concept to a merged PR or a deployed product
Instructor to be announced
About the course
Students deliver a substantial independent contribution: either a serious contribution to an open-source AI project (a merged PR in PyTorch, Hugging Face, vLLM, etc.), or a production deployment of their own AI product with real users. The capstone tests the ability to work in an unfamiliar codebase, follow community standards, and carry a task through to a public result.
What you'll learn
✓Make a documented contribution to an open-source AI project (merged PR), or deploy a product with real users
✓Handle code review from external maintainers or users and iterate on their feedback
✓Produce a technical writeup on the architectural decisions made
Key topics
•Navigating a large open-source codebase
•Working with issue trackers, code review, and maintainer feedback