Deterministic code graph for AI coding agents

Deterministic Code Graph for AI Coding Agents

This tool provides a foundational component for AI coding agents by generating a deterministic code knowledge graph. Leveraging Tree-sitter for robust code parsing and SQLite with FTS5 for efficient querying, it creates a stable, structured representation of code. This enables AI agents to understand, navigate, and manipulate codebases with greater accuracy and predictability, crucial for complex development tasks.

What it Does

The deterministic code graph tool parses source code files using Tree-sitter, a powerful parser generator. It then builds a knowledge graph representing the code's structure, including abstract syntax trees (ASTs), relationships between code elements (functions, variables, classes, etc.), and their dependencies. This graph is stored in an SQLite database, optimized for fast full-text search (FTS5) capabilities, allowing AI agents to quickly retrieve relevant code segments and contextual information. The deterministic nature ensures that for the same input code, the generated graph will always be identical, eliminating variability that can hinder AI agent performance.

Key Features

• Deterministic Graph Generation: Ensures consistent output for identical input code, vital for reproducible AI agent behavior.
• Tree-sitter Integration: Utilizes a robust and language-agnostic parser for accurate code representation.
• SQLite/FTS5 Backend: Provides efficient storage and fast, full-text search capabilities for code elements and relationships.
• Structured Code Representation: Creates a knowledge graph that captures code syntax, semantics, and dependencies.
• Developer-Focused: Designed to be a core component for building sophisticated AI coding agents.

Who it's For

This tool is specifically designed for AI developers and researchers building AI coding agents. It is ideal for those who require a stable and queryable representation of code to power functionalities such as code generation, code completion, bug detection, code refactoring, and automated code analysis. If your AI agent needs to deeply understand and interact with codebases, this deterministic code graph provides the necessary structured knowledge.