How Structural Relationships Are Represented by Edges in Understand Anything

In Understand Anything, structural relationships are modeled as GraphEdge objects with a specific type field (such as imports, contains, or inherits), enabling the knowledge graph to capture static code dependencies and hierarchies as first-class entities.

The Understand Anything engine by Egonex-AI constructs a knowledge graph of your codebase where every connection between entities is explicitly typed. Structural relationships—such as import chains, class inheritance, and containment hierarchies—are encoded as edges that power analysis, change detection, and LLM context generation. These relationships are defined in the core types package and consumed across the plugin's analyzers and builders.

The GraphEdge Data Model

Every connection in the graph is represented by a GraphEdge interface defined in packages/core/src/types.ts. Each edge carries metadata that describes the relationship nature, including a type classification, direction, optional description, and weight. This structure allows the system to distinguish between structural connections (static code organization) and behavioral ones (runtime interactions).

Structural Edge Types

The library defines specific string literals for structural relationships that describe the static architecture of the project:

• imports: A file or module imports another file or symbol
• exports: A file or module exports a symbol for external use
• contains: Parent-child containment (e.g., a file contains a function, or a class contains a method)
• inherits: Class inheritance relationships
• implements: Interface implementation relationships

These types are declared in the EdgeType union type in packages/core/src/types.ts.

// packages/core/src/types.ts
export type EdgeType =
  | "imports" | "exports" | "contains" | "inherits" | "implements"   // Structural
  | "calls" | "subscribes" | "publishes" | "middleware"           // Behavioral

When building the graph, each occurrence of a structural relationship is instantiated as a GraphEdge with the appropriate type field, allowing downstream components to query and traverse the codebase architecture programmatically.

How Structural Edges Are Used in Practice

The plugin leverages these edges in three critical paths: explaining code to LLMs, analyzing diffs for impact, and building relevant context for queries.

Filtering Edges for LLM Explanations

In src/explain-builder.ts, the system renders graph relationships as markdown for LLM prompts. The builder selectively filters structural edges to avoid cluttering explanations with generic containment relationships that provide low semantic value.

// src/explain-builder.ts
for (const edge of relevantEdges) {
  if (edge.type === "contains") continue; // omit generic containment edges
  const src = nodeMap.get(edge.source)?.name ?? edge.source;
  const tgt = nodeMap.get(edge.target)?.name ?? edge.target;
  lines.push(`- ${src} --[${edge.type}]--> ${tgt}`);
}

By skipping contains edges while preserving high-value relationships like inherits or implements, the explain builder ensures that LLM prompts focus on architectural intent rather than trivial hierarchy.

Propagating Changes Through Structure

The src/diff-analyzer.ts module traverses structural edges to calculate ripple effects from code changes. When a file node changes, the analyzer follows contains edges to mark nested functions as changed, and traces imports and exports edges to identify downstream code that may be impacted.

// src/diff-analyzer.ts
for (const edge of graph.edges) {
  // Propagate changes across structural links
  if (edge.type === "contains" && changedNodeIds.has(edge.source)) {
    changedNodeIds.add(edge.target);   // a changed file → its contained functions also change
  }
}

This propagation ensures that structural dependencies drive accurate change detection, marking all relevant nodes when a parent file or imported module is modified.

Expanding Context Via Relationships

The src/context-builder.ts expands search results by traversing any edge type—including structural ones—one hop away from a target node. This ensures that when querying a specific function, the LLM receives context about its containing file, imported dependencies, and inherited implementations.

// src/context-builder.ts
// Expands a search result by following any edge (including structural) one hop away
function expandContext(nodeId: string, graph: Graph) {
  const edges = graph.edges.filter(e => e.source === nodeId || e.target === nodeId);
  return edges.map(e => e.source === nodeId ? e.target : e.source);
}

Summary

• Structural relationships are encoded as GraphEdge objects with a typed type field that classifies the connection
• Five core structural types exist: imports, exports, contains, inherits, and implements, defined in packages/core/src/types.ts
• The explain-builder filters structural edges (specifically contains) to optimize LLM prompts and avoid context clutter
• The diff-analyzer propagates change signals across contains, imports, and exports edges to calculate ripple effects
• The context-builder traverses structural edges to enrich query context with related architectural components

Frequently Asked Questions

What are the structural edge types in Understand Anything?

The five structural edge types are imports, exports, contains, inherits, and implements, defined in the EdgeType union in packages/core/src/types.ts. These represent static code relationships like file imports, symbol exports, parent-child containment, class inheritance, and interface implementation.

How does the diff analyzer use structural edges?

The diff-analyzer.ts walks structural edges to propagate change signals through the graph. When a file changes, it follows contains edges to mark enclosed functions as modified, and traces imports and exports edges to find code that may experience ripple effects from the modification.

Why does the explain builder filter out contains edges?

The explain-builder.ts skips contains edges when generating LLM prompts to avoid cluttering the context with generic hierarchical information that doesn't add semantic value. It preserves relationship types like inherits or implements that provide architectural context while omitting trivial parent-child containment.

How are edge weights used in the knowledge graph?

Each GraphEdge includes a weight field (numeric value) that indicates the strength or importance of the relationship. While the source analysis shows this field is part of the edge structure, the specific weighting algorithm can be used to prioritize traversal or relevance scoring when building context for LLM queries.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}