This is a syntax reduction project aiming to simplify the maintenance of complex data models up to a level which is high enough that it can be quickly written and easy to understand, even without the necessary technical skills.

In this case, syntax reduction involves:
- no noise (i.e. brackets, comas, other separators)
- no unnecessary type declaration
- no unnecessary specification of parent-child relations
- no need to provide information on cardinality
- no explicit size constraints

The model compiled from the reduced syntax is then fed into a template engine to produce source code, such as:
- database schema DDL
- format files
- normalization procedures
- application data models
- data layers
- complete CRUD applications
- classes which can be derived in order to add custom functionality
- code that can be included in web pages
- and much more

Project Samples

Project Activity

See All Activity >

Follow FX CodeGen

FX CodeGen Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FX CodeGen!

Additional Project Details

Registered

2016-01-11