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Code Patterns ​

Reusable patterns for implementing ParleyJS in your applications.

Overview ​

This section provides battle-tested patterns for common scenarios. These patterns are production-ready and follow best practices for security, error handling, and performance.

Unlike guides which focus on specific use cases, patterns are reusable building blocks you can adapt to any scenario.

Available Patterns ​

Communication Patterns ​

  • Request-Response - Request-response workflows

    • Simple RPC calls
    • Query with validation
    • Pipeline pattern
    • Timeout handling
  • Error Handling - Error handling strategies

    • Try-catch patterns
    • Fallback patterns
    • Retry logic
    • Error recovery
  • State Synchronization - State sync patterns

    • Synced state class
    • Event emitter pattern
    • Store synchronization
    • Conflict resolution

Advanced Patterns ​

For more advanced patterns, see CODE_PATTERNS.md:

  • Event emitter pattern
  • Channel pooling
  • Debouncing and batching
  • Performance optimization

Pattern Organization ​

Patterns are organized by:

  • Complexity - Simple to advanced
  • Purpose - What problem they solve
  • Use case - When to use them

Each pattern includes:

  • Problem description
  • Solution code
  • When to use
  • Trade-offs
  • Related patterns

Using These Patterns ​

If you want to:

If you're building:

Pattern vs Guide ​

Patterns are:

  • Reusable code snippets
  • Solution-focused
  • Technology-agnostic
  • Composable

Guides are:

  • Complete implementations
  • Problem-focused
  • Use-case specific
  • End-to-end

Use patterns when you need a specific solution. Use guides when you need complete implementation steps.

Best Practices ​

When using these patterns:

Contributing Patterns ​

Have a pattern to share? See Contributing Guide.


Patterns:

Related:

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Released under the MIT License.