Smart Tree FAQs

Question 1

What output formats does Smart Tree support?

Accepted Answer

Smart Tree supports over 15 output formats, catering to various needs. These include AI-optimized formats, Markdown, JSON, Mermaid diagrams (flowchart, mindmap, treemap), and data-centric options like CSV, TSV, Hex, and semantic grouping for advanced analysis.

Question 2

Can Smart Tree help with code optimization and cleanup?

Accepted Answer

Absolutely. Smart Tree features a 'Waste Detection' (Marie Kondo) mode that identifies duplicate files, build artifacts (like node_modules), excessively large files, and dependency bloat, providing actionable suggestions to clean up your codebase and save disk space.

Question 3

How does Smart Tree save AI token costs?

Accepted Answer

Smart Tree's AI-optimized output formats (e.g., 'ai' or 'quantum-semantic' modes) compress directory information by up to 99%. This drastically reduces the number of tokens AI models need to consume, leading to significant cost savings and faster processing.

Question 4

What are the main performance benefits of Smart Tree?

Accepted Answer

Smart Tree is engineered for speed, offering 10-24x faster performance than traditional tools. It also achieves industry-leading data compression of up to 99%, making it incredibly efficient for analyzing even very large directories.

Question 5

What is Smart Tree?

Accepted Answer

Smart Tree (st) is the world's first AI-native directory visualizer. It's an advanced replacement for the traditional 'tree' command, designed to generate highly optimized, context-aware directory outputs for both human readability and AI processing.

Smart Tree

Smart Tree

主要功能

使用案例

主要功能

使用案例