Specifies the target database management system for code generation.
This parameter fundamentally determines how the generated NestJS application will interact with persistent data storage and shapes the entire codebase structure, configuration, and deployment characteristics.
PostgreSQL ("postgres"
): Generates production-ready code optimized
for enterprise PostgreSQL deployments. This includes robust connection
pooling, transaction handling, performance optimizations, and configuration
suitable for scalable production environments. The generated code assumes
external PostgreSQL server infrastructure and includes Docker
configurations for containerized deployments.
SQLite ("sqlite"
): Creates lightweight, file-based database code
ideal for local development, rapid prototyping, and testing scenarios. This
option eliminates external database dependencies by using SQLite's embedded
database engine, making the generated application immediately runnable
without additional infrastructure setup. Perfect for proof-of-concept
demonstrations, development testing, or situations requiring quick
application validation.
The database choice cascades throughout the entire generated project:
This comprehensive integration ensures that your generated application maintains consistency across all layers and can be deployed immediately without manual configuration adjustments or compatibility fixes.
Optional
stageLimitation stage.
Limitation of the generated files to a specific stage in the AutoBE development process.
If you configure this option, the generated files will only include the artifacts up to the specified stage, excluding any subsequent development stages.
For example, if AutoBE is currently in the "realize" stage, setting stage: "interface"
will generate files only up to the interface development
stage, omitting any code of the "test" or "realize" steps.
Configuration options for retrieving generated files from the AutoBE agent.
This interface defines the parameters that control how the agent transforms its internal development artifacts into a concrete file structure ready for deployment or further development. The configuration primarily focuses on database-specific code generation to ensure the output aligns with your target infrastructure and deployment environment.
Author
Samchon