Gherkin and Reqnroll as AI pair programming description and semantic DSL

[lpmwfx]

Hello. I wrapped Gherkin in a API layer using tags and suddenly I had a very efficient AI agentic semantic DSL by using tags like

@Class: ActualClass
• @method: AcrualMethod
@input: actual type
• Gherkin steps (Given/When/Then)
• @output : actual return type

Gherkin is all the internal and the tag API is the public part - by using this in dotnet as a Gherkin project - not only in test but by it self II have the entire project described. Then make the test and app project as copies but source files with all the api and gherkin as hooks I now have each code file defined good enough so an AI can build each file without looking outside the file.
Reqnroll is a unique dotnet BDD and TDD framework but BDD could be so much more trough Reqnroll. I might build a parser for my own use but before I do I just wanted to air my use of Reqnroll and Gherkin.