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springbot

v1.0.2

Published

Generate a Semantic Map of your Spring Boot project for LLMs

Downloads

59

Readme

SpringBot

SpringBot is a high-performance, zero-dependency CLI tool designed to scan Spring Boot repositories and generate a token-optimized "Semantic Map" in Markdown.

When feeding large codebases into Large Language Models (LLMs) like GPT-4 or Gemini, raw source code often exhausts the context window. SpringBot solves this by using advanced AST parsing to extract only the critical architectural elements (Beans, Repositories, REST Endpoints, Data Entities, and Configuration) while ignoring method bodies and stripping fully-qualified package names to save tokens.

Quick Start

The fastest way to use SpringBot is without installing it at all! Just use npx in the root of any Spring Boot project:

npx springbot pack

This will instantly generate a semantic-map.md file in your current directory.

Installation

If you prefer to install it globally on your machine:

npm install -g springbot

Then you can run it anywhere:

springbot pack

Usage

SpringBot uses a simple subcommand architecture.

Scan a Specific Project

Provide the absolute or relative path to a Spring Boot project root:

npx springbot pack /path/to/your/spring-boot-project

Advanced Options

# Specify a custom output file
npx springbot pack . -o custom-architecture.md

# View the built-in help menu
npx springbot --help

Key Features

  • No Setup Required: Works instantly via npx without needing to compile the target project.
  • Deep AST Parsing: Accurately identifies Spring annotations (@Service, @RestController, @Entity, etc.).
  • Modern Java Support: Fully supports modern Java constructs up to Java 17+, including record declarations (DTOs), enhanced switch expressions, and pattern matching.
  • Smart Discovery: Recursively scans directories for .java, application.properties, and .yml files, flattening nested YAML configurations automatically.
  • Secure Configuration Extraction: Automatically redacts sensitive keys containing "password", "secret", "token", or "key" before passing them to the LLM.
  • Token-Optimized Output: Generates a highly dense, hierarchical Markdown file (no heavy Markdown tables) specifically formatted for optimal LLM consumption.

Built with ❤️ by Vishwanath Hiremath.