Use Cases

See how developers, vibe coders, and teams use ER Flow to design better databases.

ER Flow for Vibe Coding

Design databases visually while your AI writes the code

  • βœ“No SQL knowledge required β€” describe what you need in natural language
  • βœ“See your entire database visually, not as cryptic SQL code
  • βœ“AI creates tables, columns, and relationships through ER Flow's MCP Server
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ER Flow for Laravel Developers

Visual schema design with automatic Laravel migration generation

  • βœ“Generate complete Laravel migrations with up() and down() methods
  • βœ“Visual schema design β€” see your entire database at a glance
  • βœ“Checkpoint-based diffing detects exactly what changed
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ER Flow + Cursor AI

Let your AI coding assistant design your database

  • βœ“Schema updates directly from Cursor β€” no context switching
  • βœ“AI reads your current schema before making changes (get-data-model-dbml)
  • βœ“Batch operations create entire schemas in a single request
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ER Flow + Windsurf AI

Let Windsurf design your database schema while you stay in flow

  • βœ“Windsurf's Cascade agent calls ER Flow's MCP tools autonomously, no prompting required per step
  • βœ“get-data-model-dbml gives Cascade full schema context before every change, preventing collisions
  • βœ“Batch operations let Cascade build entire domain schemas β€” users, billing, permissions β€” in one shot
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ER Flow for Supabase Developers

Design your Supabase schema visually before you build

  • βœ“Full PostgreSQL support including column types, constraints, and sequences used by Supabase
  • βœ“Design join tables for many-to-many relationships that feed into Supabase Row Level Security policies
  • βœ“Model views that map directly to Supabase's auto-generated PostgREST API endpoints
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ER Flow for Prisma ORM Users

Visualize and design your Prisma data model before writing schema.prisma

  • βœ“Visualize complex Prisma relations (one-to-many, many-to-many, self-referential) as a diagram before coding
  • βœ“Design composite indexes and unique constraints visually, then translate them directly to schema.prisma
  • βœ“SQL import reverse-engineers an existing database into a visual diagram when adopting Prisma on a legacy project
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ER Flow for Next.js Developers

Plan your database before wiring up Server Actions and API routes

  • βœ“Design the full data model for Next.js apps β€” users, sessions, content, billing β€” before writing any ORM code
  • βœ“AI integration via MCP Server: describe a feature to Cursor or Windsurf and see the schema update live in ER Flow
  • βœ“Real-time collaboration so full-stack teams align on schema before splitting into frontend and backend tracks
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ER Flow for Django Developers

Visualize your Django models before writing a single migration

  • βœ“Visualize Django model relationships β€” ForeignKey, OneToOneField, ManyToManyField β€” as a clean ER diagram
  • βœ“SQL import reverse-engineers any existing Django app's database into the visual canvas in seconds
  • βœ“Design junction tables for ManyToManyField with through= models and see the full relationship graph
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ER Flow for Ruby on Rails Developers

Visual schema design that speaks Rails conventions

  • βœ“SQL import converts schema.rb output into a full visual ER diagram in seconds
  • βœ“Checkpoint-based diffing shows exactly what changed so you know what your next migration must contain
  • βœ“Design polymorphic association tables and STI structures visually to catch mistakes before code review
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ER Flow for Database Architects & Senior Engineers

A professional-grade ER design tool with enterprise database support

  • βœ“Full multi-database support: PostgreSQL, MySQL, Oracle, SQL Server, and SQLite in a single tool
  • βœ“Stored procedures, triggers, and views are first-class objects on the ER canvas β€” not afterthoughts
  • βœ“Checkpoint-based versioning creates a complete audit trail of every schema decision and its rationale
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ER Flow for Startups

Move fast without breaking your database

  • βœ“Visual schema that the whole team understands β€” engineers, product managers, and technical co-founders
  • βœ“AI integration via MCP Server lets a solo founder scaffold an entire MVP database by describing it in natural language
  • βœ“Real-time collaboration keeps distributed startup teams aligned on the data model without endless Slack threads
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