Platform

noodlbox transforms your codebase into an intelligent knowledge graph that understands code relationships, not just files.

Core Philosophy

Traditional code navigation is file-based: directories, imports, and grep searches. But developers don't think in files - they think in features, flows, and functionality.

noodlbox reimagines code understanding:

• Communities over directories - Functional groupings of related code, regardless of file location
• Processes over call stacks - Execution flows that trace through your application
• Relationships over imports - How code actually connects and interacts

Core Concepts

How It Works

1. Code Analysis

noodlbox analyzes your repository to understand:

• Symbol definitions (functions, classes, variables)
• Call relationships between symbols
• File containment and module structure

2. Community Detection

Using graph algorithms, noodlbox identifies communities - clusters of code that work together. This reveals the natural structure of your codebase beyond file organization.

3. Process Extraction

noodlbox traces execution paths to identify processes - the flows that make your application work. These can be within a single community or span multiple.

4. Knowledge Graph

Everything is stored in a graph database, enabling powerful queries:

// Find all functions that call authentication code
MATCH (caller)-[:CALLS]->(auth:CodeSymbol)
WHERE auth.name CONTAINS 'auth'
RETURN caller.name, auth.name

Accessing noodlbox

noodlbox is accessible through integrations:

Learn More

• Knowledge Graph - Understand the graph structure
• Communities - How code is grouped
• Processes - How execution flows