Architecture

System Overview

The diagram above shows how Git2Docs processes your code and delivers documentation to users. Each component plays a specific role in the pipeline.

Data Flow

1. Trigger - A GitHub release event or manual trigger initiates the process.
2. Clone - The worker clones your repository at the specified tag/branch.
3. Analyze - The documentation engine analyzes the codebase structure and content.
4. Generate - AI processes the analysis and generates documentation content.
5. Store - Generated content is stored in the database with version tracking.
6. Serve - The web app serves documentation to users through the portal.

Feedback Loop

Git2Docs supports a human-in-the-loop workflow where team members can review and edit AI-generated content. When humans edit a section:

• The section becomes "human-owned" and won't be overwritten by AI
• Future regeneration respects human edits
• If AI detects a conflict, it creates a "contested" state for review

This creates a collaborative workflow where AI handles the heavy lifting while humans maintain control over critical content.

Deployment

Git2Docs is designed for cloud deployment with the following components: