Build backend systems from a database you can actually trust.
SnapAPI turns repeat backend setup into a guided workflow: design schema, review relationships with AI, test data behavior, then export runnable source code with Docker and documentation.
Database-first context
SnapAPI keeps schema, relations, mock data, and API behavior in one project context.
Fewer repeat mistakes
Catch missing primary keys, broken foreign keys, and mismatched relationship types earlier.
Test before handoff
Validate generated endpoints and data behavior before exporting a backend project.
Structured enough to trust. Fast enough to demo.
Instead of asking AI to guess an entire backend from a loose prompt, SnapAPI gives every project a concrete database context first. That context becomes the source of truth for AI review, mock data, API testing, and exported code.
Design the schema
Import SQL or model tables visually before any backend code is generated.
Clarify relationships
See primary keys, foreign keys, and table links on a readable database diagram.
Review with AI
AI checks database logic, relationship targets, and risky schema mistakes.
Configure APIs
Generate practical CRUD endpoints with rules, auth posture, and testable behavior.
Export source
Download production-oriented source code with Docker, docs, config, and database access notes.
AI works inside the project context, not outside it.
SnapAPI keeps AI focused on database correctness: missing keys, unsafe foreign keys, mismatched types, and questionable relationships. The goal is not magic; it is safer backend generation.
Export a backend your team can run, inspect, and continue building.
Source code, docs, Docker setup, database credentials, mock data, and Postman collection are packaged around the same project schema.