Security and documentation
JWT, RBAC, exception handling and OpenAPI documentation are selectable from Pro / Startup. Enterprise options include SSO and attribute-based access control.
GO BACKEND GENERATOR
Your database model, expressed in Go.
Create a Go backend with Gin HTTP handlers, explicit service and repository layers, and database models derived from your schema.
Go / Gin
Architecture you can work with.
Gin handles HTTP routing. Services call repositories, keeping request handling separate from database access and giving your Go application a clear package structure.
Choose Go for a compiled application with explicit packages and straightforward HTTP handlers. Inspect generated model types and database constraints together. Keep project-specific behavior in the service layer and review database initialization before deployment.
Database integration
PostgreSQL and MySQL use GORM. MongoDB uses its own driver and repository path, so relational ORM semantics are not presented as document-store behavior.
REPRESENTATIVE PROJECT
main.go
models/
repositories/
services/
controllers/
routes/
config/
middleware/
go.modmodels/customer.go
package models
type Customer struct {
ID uint `gorm:"primaryKey" json:"id"`
Email string `gorm:"not null" json:"email"`
}
func (Customer) TableName() string { return "customers" }Illustrative excerpt. The full output depends on schema and configuration.
Schema to Go source.
The same structured input, rendered through templates for your selected framework.
schema.sql INPUT
CREATE TABLE customers (
id BIGINT PRIMARY KEY,
email VARCHAR(255) NOT NULL
);
CREATE TABLE orders (
id BIGINT PRIMARY KEY,
customer_id BIGINT REFERENCES customers(id),
total DECIMAL(10, 2) NOT NULL
);SrujanX engineDeterministic by design
- Analyze schema
- Map relationships
- Generate source
- Package project
Go / Gin OUTPUT
main.go
models/
repositories/
services/
controllers/
routes/
config/
middleware/
go.mod Yours to inspect. Yours to extend.
WHAT YOU GET
A foundation, with the pieces connected.
Generate models, data access, a service layer and CRUD endpoints from tables and relationships. Add application-specific business rules to the source you download.
Deployment and operations
Dockerfiles are available from Pro; Team adds Redis caching and tracing. Agency Scale adds Kubernetes manifests, Helm and CI/CD configuration. Review secrets, infrastructure and tests before deploying.
Source you can extend
Single-module projects keep the initial structure straightforward. Eligible plans can separate the contract and implementation into modules within one deployable application.
Read the usage guide →A CLEAR PATH TO SOURCE
Less setup.
More application.
From an existing schema or a structured requirement to a project you control.
- 01
Upload a schema
Start with SQL or describe your requirements. Review the structured schema, tables and relationships.
- 02
Choose your configuration
Select the stack, database and architecture. Add the capabilities available in your plan.
- 03
Generate. Download. Build.
Generate the source, download your project and configure it for your environment. Extend it with your business logic.
SQL / structured schemaSrujanX engineSpring Boot · Node.js · NestJS · Go · Python
Natural-language input is structured before generation. The backend source is generated deterministically.
The current Go generator uses Gin for HTTP routing and GORM for relational persistence. You can inspect and modify the generated packages after downloading the source.
BUILD WHAT COMES NEXT
Your schema already
defines the backend.
Let SrujanX build the foundations. Keep the source.
Make the application yours.
schema.sql
→ models + relationships
→ services + REST APIs
→ your next application