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AI vs. Human, a GitHub Visualization

AI vs. Human, a GitHub Visualization

by thedaviddias·Feb 26, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainRabbit Hole

AI adoption dashboard for GitHub, but detection accuracy fully depends on commit message patterns.

Strengths
  • Curates global dataset across 266 repos with queryable leaderboard and per-developer breakdowns.
  • Novel framing: makes visible a question many are asking (how much AI in open source?).
  • Honest about limitations—acknowledges detection relies on author honesty in commit messages.
Weaknesses
  • Accuracy is fundamentally limited: only detects AI when developers explicitly mention tools; intentional or accidental omission skews results.
  • No API, no way to analyze private repos or integrate into workflows; single-purpose visualizer.
Category
Target Audience

Open-source researchers, developers tracking AI adoption trends

Similar To

GitHub Insights · OpenAI Codex adoption trackers

Post Description

I have been wondering how much AI is used by open-source projects on Github.

So I created a small project on https://aivshuman.thedaviddias.com/ which parses commits and try to find trace of AI tools. Not 100% accurate, it depends on people commiting using AI.

That's only when you can potentially determine that AI tools were used. It's interesting and triggers some questions about if we should have a better or stricter way to measure AI vs Human produced code.

Feel free to share any thoughts or improvements! The project is open source (https://github.com/thedaviddias/ai-vs-human)

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