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How do database diagrams break down in real projects?

One of the main reasons I started building ForgeSQL was seeing how database diagrams slowly stop reflecting reality.

They usually start accurate, but over time:

  • tables change through migrations

  • relationships get added or removed

  • multiple people touch the schema

  • the diagram no longer matches what s actually in production

I m curious to hear from you:

What broke your database diagram workflow in real projects

At the start of most projects, database diagrams feel really helpful.
Everyone understands the structure, relationships are clear, and discussions are easier.

Then the project grows and somehow the diagram gets left behind.

I d love to hear what actually broke the database diagram workflow in projects you ve worked on.

  • Was it too many migrations happening too fast?

  • People changing the schema directly in SQL?

  • The diagram slowly drifting away from production?

  • Tools becoming annoying to keep in sync?

  • Or simply no one feeling responsible for maintaining it anymore?

Using AI to generate database relationships — does this help or get in the way?

ForgeSQL now uses AI to suggest and generate database relationships from a visual model.

From your experience, would you trust AI at this stage, or prefer full manual control?
What would make this actually useful in real projects?

When do database diagrams stop being useful in real projects?

In many projects, diagrams are very helpful at the beginning, but tend to be abandoned once the schema stabilizes and development speeds up.

From your experience, what usually causes this shift?
Is it maintenance cost, lack of trust, tooling limitations, or something else?

I m interested in real-world reasons, especially in medium to large systems.

ForgeSQL - Model your database. Generate SQL. Ship faster. AI.

ForgeSQL is an AI-powered visual database modeling tool built for real-world backend workflows. You design your relational schema visually or with AI assistance, and ForgeSQL generates deterministic SQL for PostgreSQL, MySQL, SQL Server, and Oracle. It also exports Docker Compose to run databases instantly. With a schema-first approach, ForgeSQL keeps diagrams, migrations, and environments in sync from design to production.