Modern Low-Code Testing Platforms

Visual Record & Playback With Smart Element Recognition
Modern tools now use AI to identify elements more reliably than traditional selectors. For example:
Python

# Traditional explicit selector approach
button = driver.find_element(By.XPATH, "//button[@id='submit-btn' or contains(@class, 'submit')]")

# Modern low-code equivalent (automatically generates multiple fallback strategies)
Click("Submit") # The tool automatically tries:
                # - Text content matching
                # - Partial class matching
                # - Visual recognition
                # - Nearby element context
                # - Element hierarchy

Natural Language Test Cases
Tools like Cucumber have evolved to support more intuitive test writing:
Gherkin

# Modern BDD test scenario
Feature: User Authentication
  Scenario: Successful login
    Given I am on the login page
    When I enter "[e-mail]" into the email field
    And I enter "password123" into the password field
    And I click the "Sign In" button
    Then I should see the dashboard
    And I should see "Welcome back" message

# The low-code platform automatically generates the underlying code:
async function loginTest() {
    await page.navigate('login');
    await page.fill('[data-test="email"]', '[e-mail]');
    await page.fill('[data-test="password"]', 'password123');
    await page.click('button:has-text("Sign In")');
    await expect(page).toHaveURL(/.*dashboard/);
    await expect(page.locator('.welcome-message')).toContainText('Welcome back');
}

Smart Test Maintenance
Modern platforms include self-healing capabilities:
Javascript

// Configuration for smart element detection
{
    "elementDetection": {
        "primary": "id",
        "fallback": ["css", "xpath", "text"],
        "smartLocatorStrategy": {
            "enabled": true,
            "maxAttempts": 3,
            "timeout": 10000,
            "healingReport": true
        }
    }
}

// The platform automatically maintains tests when UI changes:
await click("Login")  // If the button changes, the tool tries:
                     // 1. Original selector
                     // 2. Similar elements nearby
                     // 3. Elements with similar text
                     // 4. Elements in similar position

Cross-Platform Test Reuse
Modern low-code platforms allow the same test to run across different platforms:
YAML

# Test configuration
test:
  name: "Login Flow"
  platforms:
    - web:
        browsers: ["chrome", "firefox", "safari"]
    - mobile:
        devices: ["ios", "android"]
    - desktop:
        apps: ["windows", "mac"]

  actions:
    - input: 
        field: "username"
        value: "{test.data.username}"
    - input:
        field: "password"
        value: "{test.data.password}"
    - click:
        element: "login"
    - verify:
        element: "dashboard"
        state: "visible"

Built-in API Integration Testing
Modern low-code platforms seamlessly combine UI and API testing:
Python

# Mixed UI and API test flow
test_flow = {
    "steps": [
        # UI Step
        {"action": "click", "element": "create_account"},

        # API Validation
        {"action": "api_check",
         "endpoint": "/api/user",
         "method": "GET",
         "validate": {
             "status": 200,
             "response.username": "${created_username}"
         }},

        # Continue UI Flow
        {"action": "verify", "element": "welcome_message"}
    ]
}

Intelligent Test Data Management:
Javascript

// Modern data-driven test configuration
{
    "testData": {
        "source": "dynamic",
        "generator": {
            "type": "smart",
            "rules": {
                "email": "valid_email",
                "phone": "valid_phone",
                "address": "valid_address"
            },
            "relationships": {
                "shipping_zip": "match_billing_country"
            }
        }
    }
}

The key advantage of modern low-code platforms is that they handle all this complexity behind a visual interface while still allowing testers to customize the underlying code when needed.