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What is acceptance-pipeline-specification?

unclebob/acceptance-pipeline-specification — explained in plain English

Analysis updated 2026-05-18

80Audience · developerComplexity · 3/5Setup · moderate

In one sentence

A language-agnostic specification for building an automated pipeline that turns Gherkin acceptance tests into runnable, mutation-tested code.

Mindmap

mindmap
  root((acceptance pipeline))
    What it does
      Parse Gherkin
      Generate tests
      Mutation testing
    Tech stack
      Language-agnostic spec
    Use cases
      Build test pipelines
      Verify test coverage
      Standardize CI
    Audience
      Dev teams
      AI coding agents

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Design a pipeline that converts Gherkin feature files into a standardized JSON intermediate format

USE CASE 2

Auto-generate executable acceptance tests from that JSON representation in any language

USE CASE 3

Use mutation testing to check whether generated tests actually catch broken behavior

USE CASE 4

Give an AI coding agent a reproducible spec for wiring up acceptance testing in a new project

What is it built with?

GherkinJSON

How does it compare?

unclebob/acceptance-pipeline-specificationchaelsoo/hollowingar30/reviewer
Stars808080
LanguageCPython
Setup difficultymoderatemoderatemoderate
Complexity3/53/53/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

This is a specification document, not a runnable tool, you implement it yourself in your chosen language.

License is not specified in the description.

So what is it?

This repository defines a specification, a detailed blueprint, for building an automated acceptance-testing pipeline. An acceptance test checks whether a software application actually does what it promises from the user's perspective, as opposed to just checking that individual code pieces work in isolation. The pipeline starts from a Gherkin feature file, which is a structured plain-English way of describing how a system should behave using "Given/When/Then" sentences. The specification defines how to parse that file into a standardized JSON data structure, then how to automatically generate real executable tests from that data, run those tests, and report results. A second operating mode, called mutation testing, deliberately changes the example values in the feature file to check whether the generated tests are sensitive enough to actually catch problems, a way of testing your tests. The spec is intentionally language-agnostic and project-neutral, meaning it can be implemented in Python, Java, TypeScript, or any other language. It defines the required components (a Gherkin parser, a JSON intermediary, a test generator, a mutator, and convenience scripts), the expected directory layout, command-line interfaces, exit codes, and the exact JSON format for the intermediate representation. This would be used by teams or AI coding agents who want to install a reproducible, portable acceptance-testing workflow in any new project without reinventing the architecture each time. The author is unclebob, known in the industry for writing about software craftsmanship.

Copy-paste prompts

Prompt 1
Help me implement unclebob's Acceptance-Pipeline-Specification in Python for my project
Prompt 2
Explain how the Gherkin-to-JSON intermediate representation works in this specification
Prompt 3
Show me how mutation testing is used here to validate that generated tests catch bugs
Prompt 4
Walk me through the required components and directory layout this spec defines

Frequently asked questions

What is acceptance-pipeline-specification?

A language-agnostic specification for building an automated pipeline that turns Gherkin acceptance tests into runnable, mutation-tested code.

What license does acceptance-pipeline-specification use?

License is not specified in the description.

How hard is acceptance-pipeline-specification to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is acceptance-pipeline-specification for?

Mainly developer.

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