Your team frequently creates new ML models and runs experiments to improve their accuracy and performance. The team uses a single repository hosted on Cloud Source Repositories to manage and store the codebase for these models. You want to create a continuous integration (CI) pipeline that automatically retrains the models whenever there is any modification to the code. This automation aims to ensure that the latest changes are always tested with updated models. What should be your first step to set up the CI pipeline?