개발자: Joseph Poirier (4)
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Trimbly
Trimbly revolutionizes AI-powered code analysis by transforming entire codebases into intelligently compressed, context-rich formats optimized for modern AI models. Whether processing single files or enterprise-scale repositories, Trimbly delivers unmatched compression efficiency while preserving critical semantic relationships.
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ADVANCED LANGUAGE OPTIMIZATION
Featuring 19+ specialized language optimizers including Swift, TypeScript, Python, Java, C#, PHP, Rust, Go, Kotlin, Ruby, SQL, Dockerfile, Jupyter Notebook, Shell Script, CSS, HTML, JSON, YAML, and Objective-C. Each optimizer understands language-specific patterns, preserving framework imports, error handling, async patterns, and architectural decisions while eliminating redundant code structures.
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INTELLIGENT AUTO-EXCLUSION SYSTEM
Smart Auto-Exclusion achieves remarkable 95-99% token reduction on dependency-heavy projects by intelligently identifying and excluding node_modules, build artifacts, and library folders while preserving dependency manifests and project structure context. The system maintains complete project comprehension despite massive file reduction.
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AI MODEL-SPECIFIC OPTIMIZATION
Built-in tokenization intelligence adapts compression strategies for OpenAI, Claude, Gemini, and CodeLlama models. Trimbly understands each model's tokenization patterns and context window limitations, automatically adjusting compression levels to maximize content fit while preserving analytical value.
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HIERARCHICAL PROJECT INTELLIGENCE
Advanced output enhancement generates structured project overviews, dependency graphs, and knowledge maps that provide AI models with architectural context before code analysis. This sequential information delivery dramatically improves AI comprehension and analysis quality.
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SEMANTIC COMPRESSION LEVELS
Four-tier compression system from Light to Maximum, each calibrated for specific analysis scenarios. Architecture reviews use aggressive compression focusing on component relationships, while debugging tasks preserve detailed implementation context. BPE token optimization provides standardized efficiency measurements across all compression levels.
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ENTERPRISE-GRADE PROCESSING
Handles complex project structures including Xcode projects with storyboard analysis, Core Data models, entitlements parsing, and multi-platform build configurations. Advanced error reporting and processing status tracking ensure reliable operation on large-scale codebases.
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FLEXIBLE OUTPUT FORMATS
Supports Text, JSON, Markdown, and Minimal output formats with configurable metadata inclusion. Integration-ready outputs work seamlessly with Claude Projects, ChatGPT uploads, and custom AI analysis workflows.
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스크린샷

#1. Trimbly (macOS) 게시자: Joseph Poirier
#2. Trimbly (macOS) 게시자: Joseph Poirier
#3. Trimbly (macOS) 게시자: Joseph Poirier

새로운 기능

  • 버전: 2.1.0
  • 업데이트:
  • Major Update: Advanced Language-Specific Optimization
    New Language Optimizers (21 Total)
    This version introduces specialized compression engines for each programming language, delivering dramatically improved results for AI consumption:

    Swift & Objective-C - Optimized for iOS/macOS codebases with protocol handling
    JavaScript & TypeScript - Smart module and React component compression
    Python - Preserves function signatures while removing verbose docstrings
    Java & Kotlin - Enterprise-grade optimization for large Spring projects
    C# & C++ - Efficient handling of namespaces and template code
    Rust & Go - Maintains ownership semantics and goroutine patterns
    Ruby & PHP - Web framework optimization (Rails, Laravel, Symfony)
    SQL - Query optimization while preserving schema relationships
    CSS & HTML - Frontend asset compression with selector preservation
    JSON & YAML - Configuration file optimization for DevOps workflows
    Dockerfile & Shell - Container and deployment script efficiency
    Jupyter Notebooks - Data science workflow compression

    Smart Compression Benefits
    Each optimizer understands language-specific syntax, semantics, and patterns:

    Preserves critical type information and interfaces
    Removes language-specific boilerplate and redundancy
    Maintains functional relationships between components
    Optimizes based on each language's tokenization characteristics

    Performance Improvements

    40-70% better compression ratios compared to generic optimization
    Language-aware semantic preservation
    Faster processing with cached optimizer instances
    Reduced token usage across all major language models

    Enhanced Model Support
    Updated tokenization estimates for popular language models with improved context window utilization and compression efficiency.
    The language optimizers transform Trimbly from a general compression tool into a specialized AI preparation platform that understands your code.

가격

  • 오늘: $12.99
  • 최소: $12.99
  • 최대: $12.99
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