AST2LLM Go
Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format for context injection.
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This tool significantly enhances Large Language Model (LLM) interactions by providing precise, AST-powered context directly from Go source code. Operating as a local Multi-Client Protocol (MCP) server, it parses Go project structures to identify and package critical code elements like type declarations. By automatically injecting relevant code snippets into LLM prompts, it enables models to understand context-dependent queries, such as retrieving struct field details, much faster and more accurately than traditional graph-based methods, ultimately streamlining AI-assisted Go development.
Características Principales
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- Supports parsing of Go struct, interface, function types, and global variables
- Analyzes Go project structure
- Identifies external Go type declarations
- Packages Go code context for LLM prompts
- Offers 3-5x faster context resolution than graph-based approaches
Casos de Uso
- Speeding up context resolution for AI-assisted Go development workflows
- Enhancing LLM prompts with Go code structure for better context
- Providing LLMs with missing information about Go structs and types
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