I’d like to gather insights, best practices, and real-world experiences from anyone who has worked with Databricks Repos for team-based development. Databricks Repos is designed to streamline source control, versioning, and automation, but the workflows can vary depending on how your team structures projects and CI/CD pipelines.

Specifically, I’m looking to understand:

• How teams are using Databricks Repos for collaboration (branching strategies, code reviews, managing notebooks vs. files, workflows across multiple developers).
• Best practices for connecting Databricks Repos with Git providers (GitHub, GitLab, Azure DevOps, Bitbucket).
• How you’ve set up CI/CD pipelines for deployment, automated testing, and promoting code across dev/staging/prod environments.
• Any challenges you faced (merge conflicts, sync issues, repo limits) and how you resolved them.
• Tips or tools that improved your workflow inside or outside Databricks.

Whether you’ve built a fully automated DevOps pipeline or are just experimenting with Repos for collaboration, your experiences can help others understand what works well and what to avoid.

Looking forward to hearing how you’re using Databricks Repos in real development environments!