Design Patterns MCP Server

{ "patterns": [ { "id": "thread-pool", "name": "Thread Pool", "category": "Concurrency", "description": "Maintains multiple threads waiting for tasks to be allocated for concurrent execution", "when_to_use": ["Multiple tasks", "Resource management", "Performance optimization"], "benefits": ["Resource control", "Performance", "Task management", "Overhead reduction"], "drawbacks": ["Memory overhead", "Complex configuration", "Resource contention"], "use_cases": ["Web servers", "Task processing", "Parallel computation"], "complexity": "Medium", "tags": ["concurrency", "threading", "pooling"] }, { "id": "producer-consumer", "name": "Producer-Consumer", "category": "Concurrency", "description": "Decouples production and consumption of data through shared buffer", "when_to_use": ["Data streaming", "Rate matching", "Buffering"], "benefits": ["Decoupling", "Rate matching", "Buffering", "Scalability"], "drawbacks": ["Buffer management", "Synchronization complexity", "Memory overhead"], "use_cases": ["Data pipelines", "Event processing", "Streaming systems"], "complexity": "Medium", "tags": ["concurrency", "buffering", "streaming"], "relationships": [ { "target_pattern_id": "channels", "type": "enhances", "description": "Channels provide a more type-safe and coroutine-aware implementation of the Producer-Consumer pattern with built-in backpressure" } ] }, { "id": "monitor-object", "name": "Monitor Object", "category": "Concurrency", "description": "Synchronizes concurrent method execution to ensure only one method runs at a time", "when_to_use": ["Thread-safe objects", "Method synchronization", "Critical sections"], "benefits": ["Thread safety", "Simplicity", "Encapsulation", "Data integrity"], "drawbacks": ["Performance bottleneck", "Deadlock risk", "Limited concurrency"], "use_cases": ["Shared resources", "Critical sections", "State management"], "complexity": "Medium", "tags": ["concurrency", "synchronization", "monitor"] }, { "id": "active-object", "name": "Active Object", "category": "Concurrency", "description": "Decouples method execution from method invocation using asynchronous messaging", "when_to_use": ["Asynchronous execution", "Request queuing", "Concurrent services"], "benefits": ["Asynchronous execution", "Decoupling", "Request queuing", "Concurrency"], "drawbacks": ["Complex implementation", "Memory overhead", "Debugging difficulty"], "use_cases": ["Concurrent services", "Asynchronous APIs", "Message processing"], "complexity": "High", "tags": ["concurrency", "asynchronous", "messaging"] }, { "id": "balking", "name": "Balking Pattern", "category": "Concurrency", "description": "Prevents object from executing if it's in inappropriate state", "when_to_use": ["State checking", "Resource availability", "Conditional execution"], "benefits": ["State safety", "Resource protection", "Simple logic", "Error prevention"], "drawbacks": ["Lost operations", "State management", "Timing issues"], "use_cases": ["Resource management", "State machines", "Service availability"], "complexity": "Low", "tags": ["concurrency", "state", "protection"] }, { "id": "double-checked-locking", "name": "Double-Checked Locking", "category": "Concurrency", "description": "Reduces locking overhead when implementing lazy initialization", "when_to_use": ["Lazy initialization", "Performance optimization", "Singleton pattern"], "benefits": ["Performance optimization", "Lazy initialization", "Reduced locking"], "drawbacks": ["Complex implementation", "Memory model issues", "Error-prone"], "use_cases": ["Singleton pattern", "Lazy loading", "Resource initialization"], "complexity": "High", "tags": ["concurrency", "initialization", "optimization"] }, { "id": "read-write-lock", "name": "Read-Write Lock", "category": "Concurrency", "description": "Allows concurrent read access while ensuring exclusive write access", "when_to_use": ["Read-heavy workloads", "Shared data", "Performance optimization"], "benefits": ["Concurrent reads", "Data consistency", "Performance", "Scalability"], "drawbacks": ["Complex implementation", "Writer starvation", "Overhead"], "use_cases": ["Caching systems", "Configuration data", "Shared databases"], "complexity": "Medium", "tags": ["concurrency", "locking", "read-write"] }, { "id": "thread-specific-storage", "name": "Thread-Specific Storage", "category": "Concurrency", "description": "Provides separate instance of data for each thread", "when_to_use": ["Thread isolation", "Context preservation", "Legacy code"], "benefits": ["Thread isolation", "No synchronization", "Context preservation"], "drawbacks": ["Memory overhead", "Cleanup complexity", "Hidden dependencies"], "use_cases": ["User contexts", "Transaction state", "Error handling"], "complexity": "Medium", "tags": ["concurrency", "isolation", "thread-local"] }, { "id": "guarded-suspension", "name": "Guarded Suspension", "category": "Concurrency", "description": "Suspends threads until condition becomes true", "when_to_use": ["Condition waiting", "Resource availability", "State changes"], "benefits": ["Condition waiting", "Resource efficiency", "State synchronization"], "drawbacks": ["Blocking behavior", "Complex conditions", "Performance impact"], "use_cases": ["Resource pools", "Condition variables", "State machines"], "complexity": "Medium", "tags": ["concurrency", "waiting", "suspension"] }, { "id": "two-phase-termination", "name": "Two-Phase Termination", "category": "Concurrency", "description": "Gracefully terminates threads in two phases: request and cleanup", "when_to_use": ["Graceful shutdown", "Resource cleanup", "Thread termination"], "benefits": ["Graceful shutdown", "Resource cleanup", "State consistency"], "drawbacks": ["Complex implementation", "Timing issues", "Cleanup overhead"], "use_cases": ["Server shutdown", "Service termination", "Resource cleanup"], "complexity": "High", "tags": ["concurrency", "termination", "cleanup"] }, { "id": "thread-safe-interface", "name": "Thread-Safe Interface", "category": "Concurrency", "description": "Provides thread-safe operations through careful interface design", "when_to_use": ["Shared objects", "Concurrent access", "Safety requirements"], "benefits": ["Thread safety", "Clear contracts", "Safe operations"], "drawbacks": ["Performance overhead", "Design complexity", "Limited flexibility"], "use_cases": ["Shared data structures", "Concurrent collections", "Thread-safe APIs"], "complexity": "Medium", "tags": ["concurrency", "interface", "safety"] }, { "id": "immutable-object", "name": "Immutable Object", "category": "Concurrency", "description": "Objects that cannot be modified after creation, inherently thread-safe", "when_to_use": ["Thread safety", "Functional programming", "Value objects"], "benefits": ["Thread safety", "No synchronization", "Simple reasoning", "Cacheable"], "drawbacks": ["Memory overhead", "Creation cost", "Limited mutability"], "use_cases": ["Value objects", "Configuration", "Functional programming"], "complexity": "Low", "tags": ["concurrency", "immutability", "safety"] }, { "id": "future-promise", "name": "Future/Promise", "category": "Concurrency", "description": "Represents result of asynchronous computation that may not be available yet", "when_to_use": ["Asynchronous operations", "Non-blocking calls", "Parallel execution"], "benefits": ["Non-blocking", "Composable", "Error handling", "Parallel execution"], "drawbacks": ["Complex error handling", "Memory overhead", "Callback complexity"], "use_cases": ["Async APIs", "Parallel computation", "I/O operations"], "complexity": "Medium", "tags": ["concurrency", "asynchronous", "futures"] }, { "id": "actor-model", "name": "Actor Model", "category": "Concurrency", "description": "Concurrent computation based on isolated actors communicating via messages", "when_to_use": ["Distributed systems", "Fault tolerance", "Scalable concurrency"], "benefits": ["Isolation", "Fault tolerance", "Scalability", "No shared state"], "drawbacks": ["Learning curve", "Message overhead", "Complex debugging"], "use_cases": ["Distributed systems", "Real-time systems", "IoT applications"], "complexity": "High", "tags": ["concurrency", "actors", "messaging"] }, { "id": "software-transactional-memory", "name": "Software Transactional Memory", "category": "Concurrency", "description": "Manages concurrent access to shared memory using transactions", "when_to_use": ["Complex synchronization", "Deadlock avoidance", "Composable operations"], "benefits": ["Deadlock avoidance", "Composability", "Simplified reasoning"], "drawbacks": ["Performance overhead", "Complex implementation", "Memory usage"], "use_cases": ["Complex data structures", "Financial systems", "Database systems"], "complexity": "High", "tags": ["concurrency", "transactions", "memory"] }, { "id": "fork-join", "name": "Fork-Join", "category": "Concurrency", "description": "Divides task into subtasks, processes in parallel, then combines results", "when_to_use": ["Parallel computation", "Divide-and-conquer", "CPU-intensive tasks"], "benefits": ["Parallel execution", "Work stealing", "Scalability", "Load balancing"], "drawbacks": ["Overhead for small tasks", "Complex implementation", "Debugging difficulty"], "use_cases": ["Mathematical computations", "Data processing", "Parallel algorithms"], "complexity": "High", "tags": ["concurrency", "parallel", "divide-conquer"] }, { "id": "map-reduce", "name": "Map-Reduce", "category": "Concurrency", "description": "Processes large datasets by mapping operations and reducing results", "when_to_use": ["Big data processing", "Distributed computation", "Batch processing"], "benefits": ["Scalability", "Fault tolerance", "Distributed processing"], "drawbacks": ["Overhead", "Network communication", "Framework dependency"], "use_cases": ["Big data analytics", "Log processing", "Machine learning"], "complexity": "High", "tags": ["concurrency", "distributed", "big-data"] }, { "id": "pipeline-concurrency", "name": "Pipeline (Concurrency)", "category": "Concurrency", "description": "Processes data through sequence of concurrent stages", "when_to_use": ["Stream processing", "Assembly line processing", "Data transformation"], "benefits": ["Throughput", "Parallelism", "Modularity", "Scalability"], "drawbacks": ["Latency", "Synchronization", "Buffer management"], "use_cases": ["Data processing", "Image processing", "Network protocols"], "complexity": "Medium", "tags": ["concurrency", "pipeline", "streaming"] }, { "id": "parallel-loops", "name": "Parallel Loops", "category": "Concurrency", "description": "Executes loop iterations concurrently across multiple threads", "when_to_use": ["Independent iterations", "CPU-intensive loops", "Data parallelism"], "benefits": ["Performance improvement", "Simple implementation", "Scalability"], "drawbacks": ["Load balancing", "Overhead for small loops", "Shared data issues"], "use_cases": ["Array processing", "Mathematical computations", "Image processing"], "complexity": "Low", "tags": ["concurrency", "loops", "parallelism"] }, { "id": "lock-free-programming", "name": "Lock-Free Programming", "category": "Concurrency", "description": "Concurrent programming without using locks, using atomic operations", "when_to_use": ["High performance", "Real-time systems", "Lock contention issues"], "benefits": ["No deadlocks", "High performance", "Scalability", "Real-time suitability"], "drawbacks": ["Complex implementation", "Platform dependent", "ABA problem"], "use_cases": ["High-frequency trading", "Real-time systems", "Performance-critical code"], "complexity": "High", "tags": ["concurrency", "lock-free", "atomic"] } ] }