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RSpec vs Cucumber

Stanley Ulili
Updated on September 25, 2025

If you've been writing RSpec tests and wondering about those Cucumber scenarios you see in other projects, you're asking the right questions. I found myself in the same spot a few months ago, curious about whether plain English tests could actually work better than the Ruby syntax I was comfortable with.

What started as curiosity about "testing in plain English" turned into discovering that RSpec and Cucumber solve completely different problems. You might be writing great RSpec tests that verify your code works, but still struggling to show non-developers that your features match what they actually wanted.

RSpec focuses on testing code behavior from a developer's perspective, using Ruby syntax that describes what methods and classes should do. It works great for unit testing, integration testing, and ensuring your code works correctly.

Cucumber tests business behavior from a user's perspective, using plain English scenarios that anyone can read and validate. It focuses on acceptance testing and ensuring your application delivers the right value.

If you're trying to decide between them or wondering if you need both, here's what I learned after implementing the same user registration feature using both approaches.

What is RSpec?

Screenshot of RSpec

RSpec changed Ruby testing by making tests readable and expressive. Created for developers who wanted tests to serve as both verification and documentation, RSpec uses a domain-specific language that describes code behavior in natural terms.

The framework organizes tests into nested contexts that tell a story about how your application works. Instead of just verifying that methods return expected values, RSpec tests explain what those methods accomplish and why they matter.

RSpec includes everything needed for testing Ruby applications: matchers for different data types, mocking tools for isolating code, and hooks for setting up test scenarios. Most Rails applications use RSpec as their primary testing framework.

What is Cucumber?

Screenshot of Cucumber

Cucumber takes behavior-driven development to its logical conclusion: tests written in plain English that anyone can read, understand, and validate.

Created by Aslak Hellesøy to bridge the communication gap between developers and non-technical team members, Cucumber uses Gherkin syntax to describe features as scenarios with Given-When-Then steps.

The magic happens when Cucumber transforms those English descriptions into executable tests. Ruby code called "step definitions" connects the plain English steps to actual application interactions, making business requirements testable.

Cucumber works great for acceptance testing, where you need to verify that completed features deliver the expected business value rather than just checking that code works correctly.

RSpec vs Cucumber: quick comparison

Feature RSpec Cucumber
Main focus Code behavior and unit testing Business behavior and acceptance testing
Test audience Developers Non-technical team members and developers
Syntax style Ruby DSL with natural language Plain English with Gherkin syntax
Learning curve Moderate, requires BDD concepts Easy for reading, complex for writing
Test detail level Unit, integration, system levels High-level feature scenarios
Execution speed Fast, especially unit tests Slower, full application scenarios
Setup complexity Simple gem installation Multiple moving parts to configure
Documentation value Technical documentation Living business documentation
Test isolation Easy to isolate components Tests full user journeys
Debugging Standard Ruby debugging tools Requires tracing through step definitions
Team collaboration Developer-focused Cross-functional team collaboration

Writing tests

That disconnect I mentioned started with how we expressed our tests. Our RSpec tests made perfect sense to developers, but when non-developers asked "does this match what we agreed on?", we had no good way to show them.

The way you express test scenarios affects both maintainability and business communication.

RSpec describes behavior using nested Ruby blocks that create readable technical documentation:

 
# RSpec example
describe User do
  describe '#register' do
    context 'with valid information' do
      let(:user_params) { { email: 'test@example.com', password: 'secret123' } }

      it 'creates a new user account' do
        expect { User.register(user_params) }.to change(User, :count).by(1)
      end

      it 'sends a welcome email' do
        allow(UserMailer).to receive(:welcome)
        User.register(user_params)
        expect(UserMailer).to have_received(:welcome)
      end
    end

    context 'with invalid email' do
      it 'raises a validation error' do
        expect { User.register(email: 'invalid', password: 'secret123') }
          .to raise_error(ValidationError)
      end
    end
  end
end

RSpec's nested structure creates clear technical documentation. Developers can read these tests and understand exactly how the User registration system works, including edge cases and error conditions.

Cucumber describes the same behavior from a user's perspective using plain English:

 
# Cucumber feature
Feature: User Registration
  As a potential user
  I want to create an account
  So that I can access the application

  Scenario: Successful registration with valid details
    Given I am on the registration page
    When I fill in "Email" with "test@example.com"
    And I fill in "Password" with "secret123"
    And I click "Register"
    Then I should see "Welcome! Check your email to activate your account"
    And I should receive a welcome email

  Scenario: Registration with invalid email
    Given I am on the registration page
    When I fill in "Email" with "invalid-email"
    And I fill in "Password" with "secret123"
    And I click "Register"
    Then I should see "Please enter a valid email address"

Cucumber scenarios read like user stories that anyone can understand. Non-technical team members can validate that these scenarios match their requirements, and the tests serve as living documentation of what the application should do.

Test implementation and step definitions

Looking at those Cucumber scenarios, I realized the plain English was only half the story. Someone still needs to write Ruby code that makes "When I fill in Email with test@example.com" actually work. This is where things get interesting.

RSpec tests run directly against your Ruby code, making implementation straightforward:

 
# RSpec implementation
describe UserRegistrationService do
  let(:service) { UserRegistrationService.new }

  it 'validates email format before creating user' do
    result = service.register('invalid-email', 'password123')
    expect(result.success?).to be false
    expect(result.errors).to include('Invalid email format')
  end
end

RSpec tests interact directly with your application code. You can test individual methods, classes, or integration points without additional translation layers.

Cucumber requires step definitions that translate English descriptions into Ruby code:

 
# Cucumber step definitions
Given('I am on the registration page') do
  visit '/register'
end

When('I fill in {string} with {string}') do |field, value|
  fill_in field, with: value
end

When('I click {string}') do |button|
  click_button button
end

Then('I should see {string}') do |message|
  expect(page).to have_content(message)
end

Then('I should receive a welcome email') do
  expect(ActionMailer::Base.deliveries.last.subject).to eq('Welcome!')
end

Each English phrase in your Cucumber scenarios needs corresponding Ruby code. This translation layer adds complexity but enables non-developers to read and validate test scenarios without understanding code.

Testing different application layers

After writing all those step definitions, I started wondering about test detail levels. Each Cucumber scenario required multiple step definitions just to test user registration, while RSpec let me test the email validation logic in isolation with a single assertion.

RSpec excels at testing multiple levels of your application with targeted precision:

 
# Unit test
describe EmailValidator do
  it 'accepts valid email addresses' do
    validator = EmailValidator.new
    expect(validator.valid?('test@example.com')).to be true
  end
end

# Integration test
describe UserRegistrationService do
  it 'coordinates user creation with email delivery' do
    service = UserRegistrationService.new
    user = service.register('test@example.com', 'password')
    expect(user.persisted?).to be true
    expect(ActionMailer::Base.deliveries).not_to be_empty
  end
end

# System test
describe 'User registration flow', type: :system do
  it 'allows new users to create accounts' do
    visit '/register'
    fill_in 'Email', with: 'test@example.com'
    fill_in 'Password', with: 'secret123'
    click_button 'Register'
    expect(page).to have_content('Registration successful')
  end
end

RSpec lets you test individual components in isolation, then verify how they work together. You can run fast unit tests during development and slower integration tests before deployment.

Cucumber focuses on complete user scenarios that span your entire application:

 
Feature: Complete User Registration Journey

  Scenario: New user completes full onboarding
    Given I visit the homepage
    When I click "Sign Up"
    And I complete the registration form with valid details
    And I confirm my email address from the welcome email
    And I set up my profile information
    Then I should be logged in to my dashboard
    And I should see the getting started tutorial

Cucumber scenarios test complete user journeys rather than individual components. This catches integration problems but makes it harder to pinpoint exactly what broke when tests fail.

Debugging and maintenance

The detail level difference I found between RSpec's focused unit tests and Cucumber's complete user journeys revealed something important during my first failing test. When an RSpec test broke, I could see exactly which assertion failed. But when a Cucumber scenario failed on "Then I should receive a welcome notification," I had to dig through multiple step definitions to find the actual problem.

When RSpec tests fail, debugging follows standard Ruby practices:

 
# Failed RSpec test
describe UserService do
  it 'sends notification after user creation' do
    user = UserService.create_user('test@example.com')
    expect(NotificationService).to have_received(:send_welcome)
  end
end

# Debug output:
# Expected NotificationService to have received :send_welcome
# but it received no messages

RSpec failures point directly to the code problem. You can use standard debugging tools, inspect variables, and trace through method calls using familiar Ruby techniques.

Cucumber debugging requires understanding the translation between English steps and Ruby code:

 
Scenario: User receives welcome notification
  Given a new user registers
  When the registration completes
  Then they should receive a welcome notification

When this scenario fails, you need to trace through multiple step definitions to find where the problem occurs. The abstraction that makes Cucumber readable also makes debugging more complex.

Test execution and feedback loops

The debugging complexity made me pay attention to how long it took to get feedback when tests failed. RSpec's direct path from assertion to code meant I could run a failing unit test, fix it, and verify the fix in seconds. Cucumber's abstraction layers slowed down this feedback loop considerably.

RSpec provides fast feedback during development with targeted test execution:

 
# Run specific tests
$ rspec spec/models/user_spec.rb
$ rspec spec/models/user_spec.rb:15
$ rspec --tag focus

# Quick feedback
Finished in 0.05 seconds
5 examples, 1 failure

You can run individual tests, groups of tests, or tests matching specific criteria. Fast unit tests give immediate feedback as you code.

Cucumber scenarios take longer to execute because they run complete application flows:

 
# Run Cucumber scenarios
$ cucumber features/user_registration.feature
$ cucumber --tags @critical

# Slower feedback
3 scenarios (3 passed)
15 steps (15 passed)
0m12.345s

Cucumber scenarios provide confidence that complete features work but take longer to run. The feedback loop is slower but catches integration problems that unit tests might miss.

Framework integration and ecosystem

Those slower Cucumber feedback loops made me realize I needed to understand how each tool actually worked within our Rails application. RSpec felt native to Rails development, but Cucumber required connecting several moving parts.

RSpec integrates seamlessly with Rails and most Ruby tools:

 
# RSpec with Rails
require 'rails_helper'

describe User, type: :model do
  it { is_expected.to validate_presence_of(:email) }
  it { is_expected.to have_many(:orders) }
end

describe UsersController, type: :controller do
  describe 'POST #create' do
    it 'creates a new user' do
      post :create, params: { user: valid_attributes }
      expect(response).to redirect_to(user_path(assigns(:user)))
    end
  end
end

RSpec works naturally with Rails conventions, ActiveRecord models, controllers, and views. The ecosystem includes many gems that extend RSpec's capabilities.

Cucumber requires additional configuration to work with Rails applications:

 
# cucumber.yml
default: --require features --format pretty --tags 'not @wip'
 
# features/support/env.rb
require 'cucumber/rails'
require 'capybara/cucumber'

World(FactoryBot::Syntax::Methods)
 
# Step definitions often use Capybara
When('I fill in the registration form') do
  within('#registration-form') do
    fill_in 'Email', with: 'test@example.com'
    fill_in 'Password', with: 'password123'
    fill_in 'Password confirmation', with: 'password123'
  end
end

Cucumber works with Rails but requires more setup. You need Capybara for web interactions, database cleaning strategies, and careful management of application state between scenarios.

When to use each approach

After struggling with Cucumber's Rails setup complexity compared to RSpec's seamless integration, I started seeing clear patterns about when each tool actually made sense in real projects.

Use RSpec when you're building features and need fast feedback during development. The direct connection between tests and code makes it perfect for test-driven development. You can quickly verify that individual methods work correctly, then build up to integration tests that check how components work together.

RSpec also works well for established codebases where you need to verify that changes don't break existing functionality. The detailed testing approach helps you isolate problems and fix them quickly.

Use Cucumber when communication and validation with non-technical team members are critical. If people outside the development team need to understand and approve what gets built, Cucumber scenarios serve as a shared language between technical and non-technical team members.

Cucumber works great for complex user workflows where the business logic spans multiple systems. E-commerce checkout processes, multi-step application forms, and approval workflows benefit from Cucumber's high-level scenario approach.

Combining both approaches

Those usage patterns I discovered led to an obvious question: why choose one or the other? The project where I started this investigation ended up using both tools, and the combination solved problems that neither could handle alone.

Many successful projects use RSpec and Cucumber together, leveraging the strengths of each approach:

 
# RSpec for unit and integration testing
describe PaymentProcessor do
  it 'validates credit card numbers' do
    processor = PaymentProcessor.new
    expect(processor.valid_card?('4111111111111111')).to be true
  end
end
 
# Cucumber for acceptance testing
Feature: Checkout Process
  Scenario: Customer completes purchase successfully
    Given I have items in my cart
    When I proceed to checkout
    And I enter valid payment information
    Then my order should be processed
    And I should receive confirmation

RSpec handles the detailed technical testing while Cucumber verifies that complete features deliver business value. This combination provides both fast development feedback and stakeholder confidence.

Final thoughts

That project taught me something important about testing tools: the question isn't which one is better, it's which problems you're trying to solve.

RSpec solved my development problem. I needed fast feedback while writing code, precise control over what I was testing, and tests that helped other developers understand how the system worked.

Cucumber solved my communication problem. When non-developers asked "does this do what we agreed on?", I could show them scenarios written in plain English that they could read and validate themselves.

The breakthrough came when I stopped seeing them as competing solutions and started using both. RSpec for the detailed technical work, Cucumber for validation with the broader team. Most successful teams I've worked with since follow this pattern: comprehensive RSpec coverage for development confidence, selected Cucumber scenarios for cross-team communication.

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