LogoCésar Alberca
Case Study

Lightspace — Shopify Apps with Best Practices

Summary

Problem: LightspaceOpen in a new tab needed to develop ShopifyOpen in a new tab apps and functions with robust testing and deployment processes, while ensuring best practices were followed across their development workflow.

Solution: Implemented quality assurance processes, developed Shopify apps and functions, and created reusable templates with CI/CD pipelines for automated testing and deployment.

Result: Delivered scalable, maintainable solutions that improved development efficiency and code quality, including a production-ready Shopify app templateOpen in a new tab and automated testing for themes.

The Story Behind Lightspace

LightspaceOpen in a new tab was my first client as a freelancer, marking the beginning of an exciting professional journey. I met RamezOpen in a new tab, the founder, at Burgas ColivingOpen in a new tab, which led to a fruitful collaboration that spanned multiple projects and initiatives, for which I'm very grateful for the opportunity to have worked with Ramez and his team.

The Challenge

Lightspace needed to enhance their Shopify development capabilities with:

  1. Quality Assurance: Ensuring robust testing across their applications
  2. Custom Shopify Solutions: Developing specialized apps and functions
  3. Standardized Development: Creating reusable templates with best practices
  4. Automated Testing: Implementing CI/CD for themes and applications

The Technical Journey

Quality Assurance Work

I implemented comprehensive QA processes that:

  • Established testing protocols for Shopify applications
  • Created test cases for critical user flows
  • Identified and resolved potential issues before deployment
  • Improved overall code quality and reliability

Shopify App Development

I developed custom Shopify applications that extended the platform's capabilities:

Test-Driven Development in Shopify Functions

I implemented Shopify Functions using Test-Driven DevelopmentOpen in a new tab (TDD), a methodology where tests are written before the actual code. This approach helped ensure robust, well-tested functionality from the start.

What is TDD?

TDD follows a simple cycle:

  1. Write a failing test that defines the expected behavior
  2. Implement the minimum code needed to make the test pass
  3. Refactor the code while ensuring tests still pass

Here's a simplified example of a Shopify Function developed using TDD:

// First, we wrote the test for a country-based order quantity limiter
import { describe, expect, it } from 'vitest'
import { run } from './order-quantity-limiter'
import { CountryCode } from '../generated/api'

describe('order quantity limiter', () => {
  it('limits orders to 5 items for Region A', () => {
    const result = run({
      cart: {
        deliveryGroups: [{ deliveryAddress: { countryCode: 'REGION_A' } }],
        lines: [{ quantity: 6 }],
      },
    })

    expect(result.errors[0].localizedMessage).toContain('cannot order more than 5 items')
  })

  it('allows orders within limits', () => {
    const result = run({
      cart: {
        deliveryGroups: [{ deliveryAddress: { countryCode: 'REGION_A' } }],
        lines: [{ quantity: 5 }],
      },
    })

    expect(result.errors).toHaveLength(0)
  })
})

// Then we implemented the function to pass the tests
export function run(input) {
  const regionLimits = { REGION_A: { limit: 5, name: 'Region A' } }
  const totalQuantity = input.cart.lines.reduce((sum, line) => sum + line.quantity, 0)
  const region = input.cart.deliveryGroups[0]?.deliveryAddress?.countryCode

  if (region && regionLimits[region] && totalQuantity > regionLimits[region].limit) {
    return {
      errors: [
        {
          localizedMessage: `You cannot order more than ${regionLimits[region].limit} items when shipping to ${regionLimits[region].name}.`,
          target: '$.cart',
        },
      ],
    }
  }

  return { errors: [] }
}

TDD helped us:

  • Clearly define requirements before implementation
  • Ensure edge cases were handled properly
  • Create a comprehensive test suite that prevented regressions
  • Produce cleaner, more modular code

Shopify Functions with GraphQL

I created several Shopify Functions using GraphQLOpen in a new tab, which allowed for:

  • Custom discount applications
  • Personalized product recommendations
  • Order validation and processing logic
  • Enhanced checkout experiences

These functions were built with a strong focus on testing and maintainability.

Template Creation

One of the most impactful contributions was creating a production-ready Shopify app templateOpen in a new tab that featured:

This template significantly reduced the time needed to start new projects while ensuring consistent quality and best practices.

Documentation and AI-Ready Codebases

A key innovation in our development approach was making codebases "AI-ready" through:

  1. Comprehensive Documentation: Creating detailed inline documentation that explained not just what code did, but why certain decisions were made
  2. Cursor Rules: Implementing .cursorrulesOpen in a new tab files that provided AI coding assistants with project-specific guidelines
  3. Consistent Patterns: Establishing predictable code structures that made it easier for both humans and AI to understand the codebase

The cursor rules file contained simplified development guidelines that helped AI tools understand our project conventions, coding standards, and architectural decisions. This approach significantly improved developer productivity by enabling AI assistants to provide more contextually relevant suggestions.

Here's a simplified excerpt from our development guidelines:

Development Guidelines for Remix + Shopify (Simplified)

Code Style:
- Write concise TypeScript code with accurate examples
- Follow Remix framework conventions
- Use descriptive variable names with auxiliary verbs
- Ensure separation between UI, state, and business logic

TypeScript Usage:
- Prefer interfaces over types (except for utility types)
- Avoid enums; use object maps or union types
- Use strict mode for better type safety

Performance:
- Minimize useState and useEffect
- Use Remix's loader functions for data fetching
- Implement code splitting and lazy loading

Testing:
- Write unit tests with Vitest
- Implement integration tests with Playwright
- Test both success and failure scenarios

View the complete guidelinesOpen in a new tab

CI/CD Implementation

I also created a template for in-house Shopify themes that included:

Knowledge Sharing and Community Engagement

Beyond development work, I contributed to Lightspace's community presence:

Results and Impact

The collaboration with Lightspace resulted in:

  1. Improved Development Efficiency: Templates and CI/CD pipelines reduced setup time and ensured consistency
  2. Higher Code Quality: Standardized testing and QA processes improved reliability
  3. Enhanced Capabilities: Custom Shopify apps and functions extended what was possible on the platform
  4. Knowledge Transfer: Team members gained expertise through documentation and pair programming

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Conclusion

Working with LightspaceOpen in a new tab was a rewarding experience that showcased how implementing best practices, automation, and thoughtful architecture can transform development workflows. The collaboration brought together team members from around the world, creating a truly global development effort.

The templates and processes we established continue to provide value, serving as the foundation for new projects and ensuring consistent quality across Lightspace's development initiatives. Thank you Lightspace for the opportunity to work together.

César Alberca