Getting the most out of Docs-as-Code. Overcoming migration issues

The docs-as-code approach is powerful and highly functional, but in practice it's the migration to it that creates a lot of the difficulties.

We'll discuss how we:

Solved these difficulties through integration and automation
Built pipelines for seamlessly embedding Markdown into a Confluence knowledge base
Deeply tuned Obsidian, turning it into a full-fledged IDE for analysts
Implemented an AI agent for "vibe-based analysis" on top of this infrastructure
Useful for anyone who wants to automate routine work without breaking the tools they're used to.

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