Development and QA guide
Synthetic codes for software testing, demonstrations, and data workflows
Synthetic codes are artificial identifiers created for controlled uses such as development, QA, simulation, demonstrations, sample datasets, and workflow testing.
Why use synthetic identifiers?
Developers often need realistic-looking test data without using live credentials, customer records, issuer-created codes, or production identifiers. Synthetic values help keep test environments separate from real systems.
Useful test properties
Depending on the workflow, generated values may need fixed lengths, prefixes, character sets, uniqueness within a generated batch, deterministic generation, export formats, or validation rules.
Maintain a clear boundary
Synthetic codes should be clearly described as synthetic. They should not be represented as issuer-created, redeemable, authorized, or valid for a third-party commercial service.
Where CodeForge fits
CodeForge is a Miller Hoey Ventures product direction for configurable synthetic code generation for legitimate development, testing, demonstration, simulation, novelty, and data-workflow uses.