{
  "version": "0.1.0",
  "patterns": [
    {
      "id": "retry-with-backoff",
      "title": "Retry with Exponential Backoff",
      "description": "Automatically retry failed operations with exponential backoff strategy",
      "category": "error-handling",
      "difficulty": "intermediate",
      "tags": ["retry", "resilience", "error-handling", "backoff"],
      "examples": [
        {
          "language": "typescript",
          "code": "import { Effect, Schedule } from \"effect\";\n\nconst retryableTask = Effect.gen(function* () {\n  // Simulated API call that might fail\n  const response = yield* Effect.tryPromise(() =>\n    fetch(\"https://api.example.com/data\")\n  );\n  return yield* Effect.tryPromise(() => response.json());\n});\n\n// Retry with exponential backoff (1s, 2s, 4s, 8s, 16s)\nconst withRetry = retryableTask.pipe(\n  Effect.retry(Schedule.exponential(\"1 second\", 2)),\n  Effect.retryN(5)\n);\n\nexport { withRetry };",
          "description": "Retry a failing Effect with exponential backoff"
        }
      ],
      "useCases": [
        "API calls that might fail due to network issues",
        "Database connections with temporary unavailability",
        "Rate-limited external services"
      ],
      "relatedPatterns": ["circuit-breaker", "timeout"],
      "effectVersion": "3.x"
    },
    {
      "id": "concurrent-batch-processing",
      "title": "Concurrent Batch Processing",
      "description": "Process large datasets in concurrent batches with controlled parallelism",
      "category": "concurrency",
      "difficulty": "intermediate",
      "tags": ["concurrency", "batching", "parallel", "throughput"],
      "examples": [
        {
          "language": "typescript",
          "code": "import { Effect, Array as A } from \"effect\";\n\nconst processItem = (item: string) =>\n  Effect.gen(function* () {\n    console.log(`Processing: ${item}`);\n    yield* Effect.sleep(\"100 millis\");\n    return item.toUpperCase();\n  });\n\nconst items = A.range(1, 100).map(String);\n\n// Process in batches of 10 with concurrency of 5\nconst batchProcess = Effect.forEach(\n  items,\n  processItem,\n  { concurrency: 5, batching: true }\n);\n\nexport { batchProcess };",
          "description": "Process array items with controlled concurrency"
        }
      ],
      "useCases": [
        "Bulk data processing",
        "Image thumbnail generation",
        "Parallel API requests with rate limiting"
      ],
      "relatedPatterns": ["resource-pool", "queue-management"],
      "effectVersion": "3.x"
    }
  ],
  "lastUpdated": "2025-01-09T00:00:00Z"
}