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
Tags
LLMDocumentation GenerationAgentic WorkflowCode IntelligenceInternal Tooling
Type
Personal Project