Database documentation fails when it relies on human discipline

Source: Dev.to

Problem

In theory, database documentation is simple.
In practice, that rarely survives real projects. Schemas evolve fast, requirements change, and hotfixes happen. Not because teams don’t care, but because manual synchronization does not scale. At some point, the ERD stops being a source of truth and turns into a snapshot of the past.

Solution

What worked better for me was changing the model entirely: instead of maintaining documentation, I started generating it from the actual model, versioned alongside the project, just like code. This idea eventually became ForgeSQL—a visual modeling tool where the diagram is not an accessory, but the source that generates:

• real SQL
• real Docker environments
• versioned artifacts in GitHub

No diagrams “to keep updated”. Just one model that stays aligned with reality.

Discussion

I’m curious how other teams deal with this today: what actually guarantees that your database diagram still reflects production?