codebank 0.4.5

A powerful code documentation generator that creates structured markdown documentation from your codebase. Supports multiple languages including Rust, Python, TypeScript, C, and Go with intelligent parsing and formatting. Features test code filtering, summary generation, and customizable documentation strategies.
Documentation 
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# CODE BANK ACTIVE CONTEXT

## Current Development Focus
The Code Bank project has completed the planning phase and is ready to begin implementation. The key areas of focus are:

1. Implementing the Rust parser (highest priority)
2. Implementing the Bank trait for code generation
3. Building the command-line interface

## Implementation Plan
We have established a three-phase implementation approach:

### Phase 1: Core Implementation
- Implement Rust parser with tree-sitter
- Implement Bank trait for code generation
- Build basic CLI interface

### Phase 2: Additional Languages
- Implement Python parser
- Implement TypeScript parser
- Implement C parser

### Phase 3: Refinement
- Add configuration options
- Create examples and documentation
- Implement testing

## Active Components

### Core Interface (src/lib.rs)
- `Bank` trait defines the main functionality for code bank generation
- `BankStrategy` enum controls output format (full code vs. summary)
- Need to implement a concrete Bank implementation

### Parser Infrastructure (src/parser/mod.rs)
- Data structures for code representation (FileUnit, ModuleUnit, etc.)
- `LanguageParser` trait for language-specific parsers
- Intermediate representation for language-agnostic processing
- Need to establish common query patterns for tree-sitter

### Language Parsers (src/parser/lang/)
- Need to focus on Rust parser implementation first
- Tree-sitter grammar integration for parsing Rust code
- Mapping Rust syntax elements to intermediate representation

### CLI Interface (src/bin/codebank.rs)
- Command-line interface using clap
- Arguments for input directory, output file, and strategy selection
- Implementation required for user interaction

## Technical Approach
For the Rust parser implementation, we will:
1. Create tree-sitter queries to extract syntactic elements
2. Build a traversal mechanism for nested structures
3. Extract visibility and documentation information
4. Map language-specific elements to our intermediate representation

For the Bank implementation, we will:
1. Use walkdir for efficient directory traversal
2. Create a dispatching mechanism to send files to appropriate parsers
3. Implement markdown formatting according to the selected strategy

## Immediate Next Steps
1. Set up tree-sitter-rust grammar integration
2. Create initial query patterns for Rust syntax elements
3. Begin implementing the AST traversal logic
4. Create tests for the Rust parser implementation