shard-document

To split large technical documents into navigable files, apply logical, size-based, or hierarchical sharding by topic. This process creates self-contained shards with metadata, preserving cross-references and generating a central index for discovery.

The best way to maintain cross-references when breaking down a product spec is to generate metadata-rich shards with navigation anchors. The process automatically validates links and dependencies to ensure structural integrity across the divided document set.

You need to shard a document when maintaining large, unwieldy files like PRDs or technical specs becomes difficult. Sharding divides them into smaller, self-contained sections by topic, making them easier to manage while preserving their relational meaning.

To generate an index for sharded document sets, apply a sharding strategy to the source file and produce a master index. This index documents the output structure, ensuring discoverability and reuse of the individual shards.

Yes, document sharding works with hierarchical structures by applying hierarchical sharding based on the document's native sections. It preserves the original meaning and relationships while creating metadata-rich files and validating all resulting dependencies.

When sharding a document by size, the limitation is that purely size-based splits might disrupt logical topic boundaries. To mitigate this, the process applies logical or hierarchical sharding as appropriate, validating links to ensure no meaning is lost.