🥒 gherkin-ai CLI & Agentic Verification Engine

The Closed-Loop Agentic Testing & Orchestration Engine for Enterprise Full-Stack Applications. Turn product requirements into verifiable Gherkin specifications, execute dual-stack implementations (React + Java Spring Boot), and run self-healing agent loops with zero regressions.

🌟 Strategic Capabilities (v2.6.1 Stable Patch Release)

While basic AI spec tools only generate text prompts, gherkin-ai acts as an executable contract and verification harness between Product Intent, AI Agents (Cursor, Claude Code, Windsurf, Antigravity), Code Implementation, and CI/CD Quality Gates:

• 🤖 True Agentic Engine & Self-Healing (ghk verify --auto-fix & ghk autopilot): Natively connects with LLMs (OpenAI, Anthropic, Ollama). It doesn't just log output; it actively writes and modifies your source code, intercepts test failures, and recursively applies repairs in a true Closed-Loop.
• 🌐 Web Studio UI (ghk web): Launch a premium local graphical interface to interactively generate your Gherkin specifications, detect your stack, and orchestrate agent prompts visually.
• 🌳 Official Cucumber AST Parser: 100% compliant with the Gherkin standard using the official @cucumber/gherkin package. Flawlessly parses DataTables, DocStrings, and advanced scenarios for semantic extraction.
• 🔗 AST Step Definitions Indexer: Prevents AI hallucinations by statically analyzing your E2E project (Cypress/Playwright/Cucumber-JS) via ts-morph, extracting existing Given/When/Then steps, and forcing the LLM to reuse them.
• 🛡️ Semantically Typed Contracts: Extracts variables straight from your Gherkin data tables (like @validate:email) and outputs strictly typed Zod DTOs instead of generic objects.
• ⚙️ Headless CI/CD Mode: Fully decoupled non-interactive mode (--yes, --non-interactive, --project <dir>) designed for frictionless integration into GitHub Actions, Azure DevOps, and automated pipelines.
• 📋 Pre-flight Requirement Validation: Built-in semantic validator inside ghk autopilot that analyzes requirements before triggering LLM agents, preventing token waste on vague features.
• 🔌 Native MCP Server & Cursor Skills (ghk mcp install & ghk skill): Zero-config Model Context Protocol (MCP) server. The new ghk skill command injects native Cursor and Windsurf .cursorrules to let your IDE automatically invoke Gherkin AI as an internal skill.
• 📦 Context Engineering & Guardrails Engine (ghk context): Structurally packages project architecture, conventions, and security policies into .ghe/, enforcing strict path protection and agent change limits.
• 🏗️ DOM & Data Model Anchor: Automatically extracts schema.prisma models and Page Object Model (POM) data-test selectors, injecting them into the agent's context to ensure generated tests are grounded in technical reality.
• 🏆 Dynamic Quality Gate Index (ghk quality): Measures spec coverage, unit tests, E2E, type safety, and security dynamically by parsing your real test coverage (coverage-summary.json) and linter outputs.
• ☕ Enterprise Java, React, Rust & Go Templates: Extensive boilerplate support. Scaffolds Spring Boot, Next.js, Rust Axum, Go Fiber, and mobile (Flutter/React Native) architectures out-of-the-box.
• 🕵️ Interactive Stack & Pattern Detection (ghk detect): Auto-detects existing brownfield architectures and intelligently injects industry-standard design patterns (e.g., Hooks, CQRS, MVC) into Agent prompts.
• 📡 Event-Driven & AsyncAPI Support: Automatically extracts domain events from Gherkin and scaffolds standard asyncapi.json contracts.
• 🔍 Deep AST Drift Detection (ghk diff): Validates in CI/CD pipelines if the implemented DTOs and code have drifted from the .feature file. Now cross-references semantic fields, HTTP status codes, and API Endpoints.

📥 Installation & Execution (v2.6.1)

You can use gherkin-ai via global npm installation, on-demand zero-install npx, or as a project local dev dependency:

Option 1: Global Installation (npm)

npm install -g gherkin-ai

Once installed globally, you can use ghk or gherkin-ai CLI commands directly:

ghk mcp install
ghk verify --auto-fix
ghk context build
ghk quality

Option 2: Zero-Install On-Demand (npx)

Run any gherkin-ai command instantly without global installation:

# Auto-install MCP server for Cursor & Claude Desktop
npx -y gherkin-ai mcp install

# Run closed-loop verification test harness
npx -y gherkin-ai verify --auto-fix

# Build project context & guardrails (.ghe/)
npx -y gherkin-ai context build

# Calculate feature quality score index
npx -y gherkin-ai quality

Option 3: Local Project Dev Dependency

Add to your project's devDependencies:

npm install --save-dev gherkin-ai

Then invoke via npx or add scripts to your package.json:

{
  "scripts": {
    "test:verify": "ghk verify --auto-fix",
    "quality:check": "ghk quality"
  }
}

🚀 Quick Start Commands

# 1. Setup MCP Server for Cursor & Claude Desktop
ghk mcp install   # (or: npx -y gherkin-ai mcp install)

# 2. Closed-Loop Test Verification with Auto-Fix Loop
ghk verify --auto-fix

# 3. Create a feature using Caveman Mode (skip wizard)
ghk create --caveman

# 4. Auto-detect project stack & suggest design patterns
ghk detect

# 5. Build Project Context & Policy Engine (.ghe/)
ghk context build

📖 Comprehensive Documentation

• CLI Commands Reference Guide
• Model Context Protocol (MCP) Integration Guide
• Closed-Loop Verification & Auto-Repair Guide
• Architecture & Agent Pipeline Design
• Live Web SPA Playground

📄 License

Distributed under the MIT License. Created by Fenner Eduardo.