Deterministic Go code editing for LLM agents

AST-based CLI and MCP server for deterministic Go code editing, replacing Edit, Read, Grep for AI agents.

Deterministic Go Code Editing for LLM Agents

LLM agents often require precise and reliable code manipulation. Traditional methods like edit , read , and grep are insufficient for programmatic, deterministic code changes, especially within complex Go projects. This tool provides an Abstract Syntax Tree (AST) based solution for programmatic Go code editing, enabling AI agents to perform reliable code modifications. It offers both a command-line interface (CLI) and an MCP server for seamless integration into agent workflows.

What it Does

This tool allows AI agents to interact with Go source code at the AST level. Instead of relying on text-based operations that are prone to errors and context-dependency, it parses Go code into its structural representation. This enables precise operations such as inserting, deleting, modifying, and querying code elements based on their syntactic structure. The output is deterministic, meaning the same input code and the same operation will always produce the same modified code, which is critical for reproducible AI agent behavior.

Key Features

AST-Based Editing: Operates directly on the Abstract Syntax Tree for accurate and robust code manipulation.
Deterministic Output: Ensures consistent results for code modifications, crucial for AI agent reliability.
CLI Tool: Provides a command-line interface for direct interaction and scripting.
MCP Server: Offers an MCP (Message Passing Control Protocol) server for seamless integration with LLM agents.
Replaces Traditional Tools: Designed to supersede brittle text-based operations like edit , read , and grep for code manipulation tasks.
Go Language Focus: Specifically engineered for editing Go source code.

Who it's For

This tool is intended for developers building AI agents that need to programmatically interact with and modify Go code. This includes AI engineers working on code generation, code refactoring, automated testing, and any other application where an AI agent needs to reliably understand and alter Go source files. If your AI agent requires deterministic and structurally aware code editing capabilities for Go projects, this tool is a foundational component.