Design becomes code.
Code becomes design.

Design docs exist as separate files — unclear which version is current, and change history is nearly impossible to track.

Git-based design management — design lives on the same branch and commit as your source code.

Even when a final design doc exists, it can't be trusted to match the actual implementation — requiring analysis of both docs and code to understand the system.

Design ↔ Code sync — design evolves alongside the codebase, always reflecting the real implementation.

AI for vibe coding needs flow explained in prose or multiple documents. It still lacks attribute-level I/O per module, so generated code often mismatches the real system.

IDE + MCP integration — AI reads schema, processors, and lineage directly from Beyond Entity, enabling accurate, design-grounded code generation.

ERD alone can't show which processes read or write the data — and process docs don't reveal data structure. No single design source integrates both.

Unified modeling of DB, APIs, and processors — I/O defined at the attribute level, connecting data and process in one place.

File-based docs can't be shared instantly — team members work from different versions. Departing developers take design knowledge with them, creating security risks.

Web-based and access-controlled — no local copies, admin defines visibility per member, enabling full-team collaboration on a single design.

Hard to know where personal identifiers or sensitive data are stored — leading to slow response to privacy incidents.

Attribute-level metadata tagging — sensitive data locations are defined in the design and instantly queryable via MCP.

Data platforms govern runtime data only — no governance for data still in the design stage, making impact analysis difficult before building new services.

Acts as the design layer for data platforms — provides schema and lineage at design time, enabling pre-build impact analysis.

Lineage tools show data flow but not the transformation logic that produced it — accurate impact analysis is impossible.

Register transformations as SQL-like logic — lineage is generated automatically, with full traceability to the logic behind it.