Prompt to SQL

Prompt to SQL allows you to generate SQL statements by describing your database requirements in natural language.

Instead of manually writing SQL, simply explain what you want to create, and Qubase AI generates SQL that can be reviewed, edited, and executed.

This feature helps developers prototype database structures more quickly while reducing repetitive SQL writing.

Before you begin

Before generating SQL, ensure that you have:

Created a Workspace
Created a Project
Opened a Database Schema
Selected the target DBMS (if required)

[!NOTE] AI-generated SQL should always be reviewed before executing it against a database.

What can AI generate?

Depending on your prompt, Qubase AI may generate:

CREATE TABLE statements
ALTER TABLE statements
Primary Keys
Foreign Keys
Constraints
Indexes
Relationships

Generated SQL follows the selected database system whenever possible.

Example prompt


Create an e-commerce database.

Customers can place multiple orders.

Each order contains multiple products.

Products belong to categories.

Each customer has a unique email address.

AI workflow


Write Prompt
      │
      ▼
AI Understands Requirements
      │
      ▼
Generate SQL
      │
      ▼
Review SQL
      │
      ▼
Copy or Save

Generate SQL

To generate SQL:

Open AI Engineering.
Select Prompt to SQL.
Describe your database requirements.
Submit the prompt.
Review the generated SQL.
Edit the SQL if necessary.
Save or copy the result.

Reviewing generated SQL

Before using generated SQL, review:

Table names
Column names
Data types
Primary Keys
Foreign Keys
Constraints
Indexes

Always confirm that the generated SQL matches your business requirements.

Writing effective prompts

For better results:

Describe the business domain.
Mention important entities.
Explain relationships.
Include validation rules.
Specify important constraints.

Example:


Create a hospital management database.

Patients can have multiple appointments.

Doctors manage appointments.

Each appointment belongs to one department.

Store patient contact information.

Benefits

Prompt to SQL helps you:

Generate SQL faster
Reduce repetitive coding
Prototype database structures
Learn SQL syntax
Improve development productivity

Limitations

Generated SQL may require manual refinement.

Examples include:

Database-specific optimizations
Naming conventions
Performance tuning
Custom constraints

Review generated SQL before deployment.

Best practices

Use detailed prompts.
Validate generated SQL.
Review relationships carefully.
Test SQL in a development environment.
Keep generated SQL under version control.

[!TIP] Better prompts produce more accurate SQL generation.