From SQL to backend
Generate a Spring Boot backend from your SQL schema
Your database schema already encodes most of the structural decisions. AlveoForge reads your DDL and turns it into a production-ready Spring Boot backend (hexagonal, tested, runnable) in hours, without you hand-writing the same layer for every table.
Your DDL is the source of truth
The schema is emitted as a versioned migration (Flyway or Liquibase, both wired with parity), or pointed at an existing production database (brownfield) without rebuilding it. Hibernate runs in validate mode, so entities are checked against the real schema at boot.
From one table to a working slice
Each table becomes one self-contained vertical slice. From the table definition, AlveoForge generates and wires:
- The domain model and its validation rules, from the columns, types and constraints.
- The persistence adapter and the versioned migration for the table.
- The use cases: CRUD, batch, reads (single, paged, by-ids) and relationship expansion.
- The HTTP controller, request and response DTOs, and the OpenAPI documentation.
- The tests for all of it, across the four-layer pyramid.
Full SQL type coverage
Arrays, enums, JSONB, UUID, the date/time family, numeric precision, bytea, varchar length validation, composite and foreign keys, plus table inheritance and declarative partitioning. An unrecognized type never fails the build: it falls back to a safe default your team can refine.
What each entity gets
Full CRUD plus batch (create-many, bulk updates), reads single/paged/by-ids, and read-time relationship expansion (?expand=…) across slices, with no N+1 queries and no JPA object graph leaking across layers. Ship it as a modular monolith or as microservices (one Spring Boot app per module), from the same domain.