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Overview

Here’s a 4-5 sentence architectural overview for the README, focusing on data flow:

The project’s data flows primarily from the entry points, which act as initial gateways for various projects. These entry points utilize the base_parser to handle diverse languages and subsequently feed data into the core layers. The call_graph.py module then builds a complex call graph representing the system’s operations, enabling analysis and performance evaluation. Finally, the semantic/ir_schema.py and graph/call_graph.py modules contribute to the data flow by providing schema definitions and graph-based analysis, ensuring data integrity and efficient processing. This structured flow supports robust project automation and discovery.

Key Features

• Automated Documentation: Generates API, Architecture, and README files.
• AI Grounding: High-fidelity summaries with IR-based hallucination checks.
• Performance: Parallelized pipeline with batch summarization.

Getting Started

Installation

pip install -r requirements.txt

Usage

Generate documentation for your project:

python -m src.cli --path . --model gemma3:1b --concurrency 8

Architecture

For a detailed technical overview, see ARCHITECTURE.md. For API signatures, see API.md.

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