Operational

AI Documentation Generator

Agent-based system that analyzes large codebases and generates structured documentation with minimal manual effort.

Project Preview

Overview

AI Documentation Generator is an internal project built to automate documentation at scale. The system traverses repositories, maps code dependencies, and orchestrates LLM-driven agents to produce structured, contextual documentation for complex software systems.

The Motivation

Large codebases are hard to document and keep current. I built this project to reduce documentation cycles from weeks to days while improving consistency and coverage across teams.

Key Features

Built an LLM-based workflow to generate structured documentation from source code

Designed agent-driven pipelines for code traversal and dependency mapping

Analyzed and documented 10k+ code files, significantly reducing manual effort

Integrated FastAPI services and PostgreSQL for reliable orchestration and storage

Technologies

Python

FastAPI

PostgreSQL

Type