Feature Description
When users propose or accept schema changes in Schema Designer, the extension should generate ORM-ready artifacts that accurately reflect the updated schema’s tables, columns, and relationships.
Like the existing T-SQL Definition feature, these ORM scripts must be produced directly from the canonical schema model and update live as the user edits the schema (real-time refresh during design).
Supported ORM targets:
- Prisma
- Sequelize
- TypeORM
- Drizzle ORM
- SQLAlchemy
- EF Core
Design mock:
Example Prisma output:
// Created by GitHub Copilot in VS Code MSSQL - review carefully before executing
// schema.prisma
model Categories {
categoryID Int @id @default(autoincrement())
name String @db.NVarChar(100)
description String? @db.NVarChar(500)
products Products[]
@@map("dbo.Categories")
}
model Products {
productID Int @id @default(autoincrement())
name String @db.NVarChar(100)
price Decimal @db.Decimal(10, 2)
categoryID Int?
category Categories? @relation(fields: [categoryID], references: [categoryID])
@@map("dbo.Products")
}
Problem and Motivation
Problem:
Today, Schema Designer can show an authoritative, up-to-date T-SQL definition for proposed/accepted schema changes, but developers who build applications with ORMs still have a major gap:
- They can visually design the database schema, but they can’t immediately see the equivalent ORM model code (e.g., Prisma models, EF Core entities, SQLAlchemy models).
- Translating a designed schema into ORM code is manual, repetitive, and error-prone, especially around relationships, nullability and defaults, data type mapping (e.g., NVARCHAR/DECIMAL precision), naming and table mapping (schema/table/column maps)
- During iterative design, ORM definitions quickly become stale because they’re not derived from the same canonical schema representation that powers Schema Designer.
This creates friction between “database-first” design and “application-first” development, and slows down delivery of reliable migrations.
Motivation / Why it matters
Many data-driven apps use ORMs across multiple ecosystems. Supporting Prisma, Sequelize, TypeORM, Drizzle, SQLAlchemy, and EF Core covers common Node.js, Python, and .NET workflows. This makes Schema Designer more useful as a daily driver for developers, not just a database visualization or design tool.
Having this feature also enables faster, safer migrations. Generating ORM scripts directly from the canonical schema model enables confidence that ORM code matches the migration intent (source-of-truth alignment). Developers can spot breaking changes immediately (e.g., making a field required, changing precision, modifying keys).
Related Area
If you selected "Other", please describe the area
No response
Confirmation
Feature Description
When users propose or accept schema changes in Schema Designer, the extension should generate ORM-ready artifacts that accurately reflect the updated schema’s tables, columns, and relationships.
Like the existing T-SQL Definition feature, these ORM scripts must be produced directly from the canonical schema model and update live as the user edits the schema (real-time refresh during design).
Supported ORM targets:
Design mock:
Example Prisma output:
Problem and Motivation
Problem:
Today, Schema Designer can show an authoritative, up-to-date T-SQL definition for proposed/accepted schema changes, but developers who build applications with ORMs still have a major gap:
This creates friction between “database-first” design and “application-first” development, and slows down delivery of reliable migrations.
Motivation / Why it matters
Many data-driven apps use ORMs across multiple ecosystems. Supporting Prisma, Sequelize, TypeORM, Drizzle, SQLAlchemy, and EF Core covers common Node.js, Python, and .NET workflows. This makes Schema Designer more useful as a daily driver for developers, not just a database visualization or design tool.
Having this feature also enables faster, safer migrations. Generating ORM scripts directly from the canonical schema model enables confidence that ORM code matches the migration intent (source-of-truth alignment). Developers can spot breaking changes immediately (e.g., making a field required, changing precision, modifying keys).
Related Area
If you selected "Other", please describe the area
No response
Confirmation