We’re scaling our use of Databricks notebooks and ML pipelines, and keeping everything properly documented is becoming a challenge. I’ve used GitBook in past projects, but it’s starting to feel a bit clunky, especially when trying to keep markdown docs, code snippets, and API specs in sync with our workspace repos.

For those running sizable Databricks setups, which documentation tools (self-hosted or SaaS) have you found helpful? Ideally looking for:
• Markdown or notebooks-friendly authoring
• Version-control / CI-friendly workflow
• Easy embedding of code samples and REST / Spark API references

Would love to hear what’s working (or not working) for your teams, thanks in advance.