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. ========================================== 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. ========================================== 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. ========================================== 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. ========================================== 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. ========================================== 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. ========================================== 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. ========================================== 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. ==========================================