🗄️ CODE · Coding & Dev Level: Beginner ⏱ 15 MIN Free & Open Source

Design Normalized Database Schemas, Indexes & ER Diagrams from Plain Business Rules

Describe your product entities and workflows in plain language to get production-ready PostgreSQL/MySQL DDL, composite indexes, Prisma/Drizzle schemas and a visual ER diagram.

CORE TOOLS Claude / DeepSeek, Mermaid ER / ChartDB

BEST FOR Indie hackers, full-stack & backend developers, CS students

REQUIREMENTS Any LLM chat tool; PostgreSQL / MySQL or ORM setup

✦ WHY THIS WORKFLOW

Fixing bad column types or missing idempotency constraints after launch is painful. Having AI act as a senior DBA up front catches 90% of schema pitfalls.

✦ Interactive Workflow Animation Preview

Step-by-Step Action Checklist

0 / 4 Completed

✓ Step 1 [State entities & top queries]: Describe your core domain objects and the 3 most frequent read/write queries.
✓ Step 2 [Generate DDL & composite indexes]: Have AI output commented PostgreSQL/MySQL DDL with proper types, timestamps and composite indexes tailored to those queries.
✓ Step 3 [Render the ER diagram]: Request a Mermaid `erDiagram` block or import into open-source ChartDB to visualize 1:N and M:N relations.
✓ Step 4 [Audit concurrency & uniqueness]: Ask where to place unique constraints or optimistic locking (`version` columns) to prevent double-booking or race conditions.

READY-TO-USE PROMPT TEMPLATE

Open Official Tool / Repo ↗

You are a senior database architect. I am building [system description] on [PostgreSQL / MySQL 8.0].
Output:
1) [Mermaid ER Diagram]: `erDiagram` syntax showing entities, keys and cardinality;
2) [Production DDL]: Complete `CREATE TABLE` statements with exact types (integer cents or decimal for money, never float), idempotency unique keys and comments;
3) [Index Strategy]: Composite indexes matched to the top access patterns with left-prefix explanation.

Use Cases & Tags:

Greenfield app schema modelingSlow-query index optimizationPrisma/Drizzle ORM schema generationTechnical design doc ER diagrams#postgresql#mysql

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