ForgeSQL

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

18 followers

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

18 followers

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.

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Launch tags:Developer Tools•Artificial Intelligence•Database

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Maker

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Hey everyone I built ForgeSQL after repeatedly facing the same problem in backend projects: schema drift. We start with a clean database model. Over time, migrations become the source of truth. Diagrams get outdated. Docker environments are configured separately. Reproducibility and clarity slowly break down. ForgeSQL explores a schema-first approach where the structural definition becomes the central artifact. From it, you can generate deterministic SQL and Docker configuration to spin up the same database consistently across environments. This is still evolving, and I’m actively refining both the workflow and positioning. I’d genuinely love feedback from engineers who deal with database modeling, migrations, and DevOps workflows in real systems. What works in your team today? What breaks at scale? Thanks for checking it out

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8mo ago

Forum Threads

p/forgesql

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8mo ago

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?

p/forgesql

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8mo ago

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:

p/forgesql

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8mo ago

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?

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