performance.md

Performance Overview

Navigation hub — This page orients you to performance documentation. For detailed content, see the linked guides in the "See Also" section below.

This overview covers performance tiers and philosophy for Codomyrmex modules. Full benchmarking data and optimization strategies are in the companion documents.

🎯 Performance Overview

Performance Philosophy

• Efficiency by Design: Optimal algorithms and data structures
• Resource Awareness: Memory and CPU conscious implementations
• Scalability: Performance scales with system resources
• Real-World Focus: Benchmarks reflect actual usage patterns

Performance Tiers

graph TB
    subgraph sg_69d44543dc [Performance Tiers]
        Interactive["Interactive Tier<br/>< 200ms response"]
        Batch["Batch Tier<br/>< 30s processing"]
        Background["Background Tier<br/>< 5min jobs"]
        LongRunning["Long-Running Tier<br/>Hours/Days"]
    end

    subgraph sg_eea32a4f9d [Module Categories]
        DataViz["Data Visualization"] --> Interactive
        StaticAnalysis["Static Analysis"] --> Batch
        AICode["AI Code Editing"] --> Background
        Documentation["Documentation"] --> LongRunning
    end

    subgraph sg_0bd2cf4178 [Optimization Strategies]
        Caching["Caching"]
        Async["Async Processing"]
        Streaming["Streaming"]
        Parallelization["Parallelization"]
    end

    Interactive --> Caching
    Batch --> Streaming
    Background --> Async
    LongRunning --> Parallelization

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See Also

• Performance Benchmarks — Benchmark results, regression data, and testing framework
• Performance Optimization & Monitoring — Optimization techniques and real-time monitoring