Organizing large-scale projects

Building large-scale applications with Aurelia 2 requires careful planning and organization. This guide provides best practices for structuring your projects, managing dependencies, and scaling your applications effectively.

Core Principles

Before diving into specific patterns, it's important to understand the core principles that guide these recommendations:

  1. Separation of Concerns - Keep different aspects of your application isolated from each other

  2. Scalability - Structure that grows with your team and application complexity

  3. Maintainability - Code that's easy to understand, modify, and debug

  4. Testability - Architecture that facilitates comprehensive testing

  5. Performance - Structure that enables optimization without major refactoring

Project Structure Patterns

Feature-based organization is recommended over technical-layer organization for several reasons:

  • Improved Cohesion: Related code stays together, making it easier to understand and modify features

  • Better Scalability: Teams can work on features independently without stepping on each other

  • Easier Code Splitting: Features naturally align with lazy-loading boundaries

  • Reduced Coupling: Features can be developed, tested, and deployed more independently

Here's how to structure a feature-based application:

Monorepo Structure

A monorepo structure is beneficial for large organizations because:

  • Code Sharing: Easy to share components, utilities, and types across applications

  • Atomic Changes: Can make coordinated changes across multiple packages in a single commit

  • Consistent Tooling: Single set of build tools, linting rules, and dependencies

  • Better Refactoring: IDE support for renaming and refactoring across all packages

Why Turbo?

Turbo is recommended for monorepo orchestration because:

  • Intelligent Caching: Only rebuilds what changed, dramatically speeding up builds

  • Parallel Execution: Runs tasks across packages in parallel when possible

  • Remote Caching: Teams can share build artifacts, reducing CI/CD times

  • Pipeline Management: Declaratively define task dependencies between packages

For enterprise applications with multiple teams or deployable units:

Application Bootstrap Patterns

Basic Bootstrap

Advanced Bootstrap with Configuration

State Management Architecture

State Management Options in Aurelia 2

Aurelia 2 provides two main approaches to state management:

  1. DI-Based Services (Recommended for most cases)

    • Simple, testable, and TypeScript-friendly

    • No additional libraries or patterns to learn

    • Perfect for component-level and feature-level state

    • Works great with Aurelia's reactive binding system

  2. @aurelia/state (For complex global state)

    • Redux-like state management with reactive bindings

    • Provides @fromState decorator for component bindings

    • Memoized selectors for computed values

    • Action-based state updates with reducers

When to Use Each Approach

DI-Based Services

Use when:

  • State is scoped to a feature or component

  • You need simple CRUD operations

  • Testing is a priority

  • Team prefers familiar OOP patterns

  • You want minimal complexity

@aurelia/state

Use when:

  • You need truly global application state

  • Multiple unrelated components need the same state

  • You want predictable state updates through actions

  • Complex state relationships require memoized selectors

  • You need to debug state changes systematically

Create dedicated state services using dependency injection:

Using @aurelia/state for Complex Scenarios

@aurelia/state provides Redux-like state management with reactive bindings:

Using DI-Based State in Components

Using @aurelia/state in Components

Template Usage with @aurelia/state

Comparison: When to Use Each

Feature
DI Services
@aurelia/state

Learning Curve

Low

Medium

Boilerplate

Minimal

Medium

Computed Values

Manual

Memoized Selectors

State Scope

Feature/Component

Global

Testing

Excellent

Good

Performance

Good

Excellent

Best For

Most Use Cases

Complex Global State

Routing Patterns

Why Lazy Loading Routes?

Lazy loading routes is crucial for large applications because:

  • Faster Initial Load: Users only download code for the pages they visit

  • Better Caching: Browser can cache route bundles separately

  • Reduced Memory Usage: Components are only instantiated when needed

  • Natural Code Splitting: Each route becomes its own bundle

Static Route Configuration

Resource Management

Understanding Aurelia Resources

Resources in Aurelia 2 include:

  • Custom Elements: Reusable components

  • Custom Attributes: Behaviors attached to elements

  • Value Converters: Transform values in bindings

  • Binding Behaviors: Modify binding behavior

These need to be registered so Aurelia's template compiler can find them. You have two options:

  1. Global Registration: Available everywhere in your app

  2. Local Registration: Available only within a specific component or feature

Global Resource Registration

Use global registration for resources that are used frequently across your application:

Feature Module Pattern

Feature modules encapsulate all code for a specific domain. This pattern provides:

  • Clear Boundaries: Each feature is self-contained

  • Easy Testing: Can test features in isolation

  • Team Ownership: Teams can own entire features

  • Gradual Migration: Can migrate features incrementally

Build Configuration

Why Vite?

Vite is the recommended build tool for Aurelia 2 applications because:

  • Lightning Fast HMR: Near-instant hot module replacement during development

  • ESM-First: Native ES modules in development, optimized bundles for production

  • Zero Config: Works out of the box with sensible defaults

  • Built-in Optimizations: Automatic code splitting, tree shaking, and minification

  • First-Class TypeScript Support: No additional configuration needed

Modern Build with Vite

Environment Configuration

Why Environment-Specific Configuration?

Different environments require different settings:

  • Development: Verbose logging, local API endpoints, disabled analytics

  • Staging: Production-like but with test data and endpoints

  • Production: Optimized settings, real endpoints, enabled analytics

Using DI for environment configuration provides:

  • Type safety for configuration values

  • Easy mocking in tests

  • Single source of truth

  • Runtime configuration validation

Testing Strategies

Why @aurelia/testing?

Aurelia provides its own testing utilities because:

  • Lifecycle Management: Properly handles component lifecycle during tests

  • Fixture Creation: Easy setup of components with dependencies

  • DOM Assertions: Built-in helpers for testing rendered output

  • DI Integration: Seamlessly mock services through DI

  • Async Handling: Proper handling of Aurelia's async operations

Component Testing

Service Testing

Performance Optimization

Why Focus on Performance?

Large applications must consider performance from the start:

  • User Experience: Faster apps have better engagement and conversion

  • SEO Impact: Page speed affects search rankings

  • Mobile Users: Many users on slower connections or devices

  • Scalability: Performance problems compound as apps grow

Code Splitting with Dynamic Imports

Code splitting breaks your application into smaller chunks that load on demand:

Bundle Analysis

Micro-Frontend Architecture

When to Use Micro-Frontends?

Consider micro-frontends when:

  • Multiple Teams: Different teams own different parts of the application

  • Independent Deployment: Need to deploy features independently

  • Technology Diversity: Teams want to use different frameworks/versions

  • Massive Scale: Application is too large for a single codebase

Trade-offs

Pros:

  • Team autonomy

  • Independent deployments

  • Fault isolation

  • Technology flexibility

Cons:

  • Increased complexity

  • Potential duplication

  • Cross-module communication challenges

  • Larger overall bundle size

Shell Application

Remote Module

Decision Guide: Which Architecture to Choose?

Single Repository

Choose when:

  • Small to medium team (< 20 developers)

  • Single deployable application

  • Rapid prototyping needed

  • Simpler deployment pipeline preferred

Monorepo

Choose when:

  • Multiple related applications

  • Significant code sharing needed

  • Large team with good tooling

  • Consistent standards important

Micro-Frontends

Choose when:

  • Very large organization (100+ developers)

  • Teams need full autonomy

  • Independent deployment critical

  • Different tech stacks required

Best Practices Summary

  1. Architecture Principles

    • Organize by features/domains, not technical layers

    • Use dependency injection for all services

    • Keep components focused on presentation

    • Implement proper separation of concerns

  2. State Management

    • Use singleton services for application state

    • Implement request deduplication for concurrent calls

    • Handle loading and error states consistently

    • Keep state close to where it's used

  3. Performance

    • Implement code splitting at route boundaries

    • Use dynamic imports for heavy dependencies

    • Monitor bundle sizes with analysis tools

    • Lazy load features when possible

  4. Type Safety

    • Use TypeScript interfaces for all services

    • Avoid any type - create specific types

    • Leverage DI interfaces for better abstraction

    • Use strict TypeScript configuration

  5. Testing

    • Test components with @aurelia/testing fixtures

    • Mock services through DI registration

    • Test state management logic separately

    • Focus on testing critical business logic and user workflows

  6. Code Organization

    • Use barrel exports for feature modules

    • Keep consistent file naming conventions

    • Group related functionality together

    • Maintain clear module boundaries

  7. Build & Deployment

    • Use modern build tools (Vite preferred)

    • Configure environment-specific settings

    • Implement proper code splitting

    • Monitor and optimize bundle sizes

By following these patterns and practices, you can build scalable, maintainable Aurelia 2 applications that grow with your team and business requirements. The key is to start with a solid foundation and evolve the architecture as needed while maintaining consistency across the codebase.

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