Gjenerator

gjenerator is a software tool designed to automate the creation of code, configuration files, and documentation from templates and structured data. It is used to enforce consistency and reduce manual boilerplate across software projects. While the name is used by several independent efforts, most implementations share a common approach: templates describe the desired output and a data source provides values used during rendering.

Typical workflows involve defining a set of templates in a templates directory, supplying a data file in JSON, YAML, or TOML, and running the gjenerator command to render files into a target directory. Features commonly include a dry-run mode, incremental updates, and idempotent generation, so repeated runs do not produce conflicting changes. The tool supports multiple templating languages, pluggable backends for local or remote storage, and a configuration layer that ties templates to data sources and destinations.

Architecturally, gjenerator consists of a core engine, a template resolver, a renderer, and an adapter layer for inputs and outputs. A typical configuration file specifies templates, data sources, output paths, and optional post-processing steps. The system emphasizes reproducibility and traceability, recording templates and data used for each generation run.

Common use cases include scaffolding new projects, generating API clients or stubs, producing documentation from metadata, and creating synthetic data sets for testing. Availability and licensing vary by implementation, but many variants are distributed as open-source software under permissive licenses and hosted on community platforms with documentation and contributing guidelines.