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The Git backend provides the data foundation for transparency, enabling humans to see, understand, and respond to AI work.

The Core Connection

Work-Wiki’s purpose is not measuring what AI did, but building an environment where the Human-AI feedback loop can operate. Three elements are required:
  1. TRANSPARENCY: AI work is visible to human
  2. VISUALIZATION: Presented in a form human can understand
  3. FEEDBACK: Human can efficiently respond/correct/direct AI via prompt
The Git backend provides the data for all three elements.

Attribution Data Flow

WHO Changed What

WHAT Changed

WHEN and HOW

Timeline data shows work progression:

AI Contribution Detection

The backend provides data for detecting AI contributions through multiple patterns:

Pattern 1: Co-Authored-By Marker

Backend provides: Commit full message Frontend can parse for “Co-Authored-By”

Pattern 2: Author Email Detection

Some setups may have AI as direct author: Backend provides: Commit email, Blame author Frontend can match against known AI email patterns

Pattern 3: Commit Message Analysis

AI commits often contain specific patterns:
  • “Generated with [Claude Code]”
  • “Created by GitHub Copilot”
  • Tool-specific markers
Backend provides: Commit message Frontend can use regex matching

Data Refresh Strategy

Initial Page Load

Use batch refresh for fast loading:

File Selection

On-demand loading when user selects a file:

History Exploration

Incremental loading for commit history:

The Complete Feedback Loop


THE CENTER

The Git backend is essential to THE CENTER. Without it:
  • No transparency (the loop is BLIND)
  • No visualization (the loop is INCOMPREHENSIBLE)
  • No efficient feedback (the loop is BROKEN)
The Git backend is not just a technical component. It is the foundation of Monokinetic transparency.