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tech 18 May 2026

We stopped AI bot spam in our GitHub repo using Git's –author flag

Learn how we used Git's –author flag to safeguard our GitHub repo against AI bot spam.

Article inspired by the original source
We stopped AI bot spam in our GitHub repo using Git's –author flag ↗ archestra.ai

Introduction

AI bot spam has become a significant issue for many open-source repositories on GitHub. In 2023, numerous developers noticed a sharp increase in low-quality contributions from these bots. In this article, we will explore how we used Git's –author flag to effectively curb spam in our GitHub repository.

The AI Bot Spam Problem

The impact of AI bot spam isn't just an annoyance. It can hinder collaboration and innovation. According to a GitHub study, over 10% of PRs (Pull Requests) in some popular projects were deemed unnecessary spam, often generated by poorly configured AI bots. These low-quality contributions can stifle the efforts of genuine contributors and make managing open-source projects more challenging.

Our Solution: Git's –author Flag

Facing this issue, we decided to explore technical solutions to filter out these undesirable contributions. This is where Git's –author flag comes into play. This option allows us to verify the author of a contribution before it is accepted into our repository.

How the –author Flag Works

The –author flag in Git is used to specify the author of a commit. By using it wisely, we can establish a whitelist of approved contributors and block those who do not match this list. This process begins with checking the metadata associated with each commit.

Implementing the Solution

Implementing this solution required a few key steps:

  1. Establishing a Whitelist: We started by identifying legitimate contributors and added them to a whitelist based on their GitHub IDs and past contributions.
  1. Automating with a Script: A simple script was written to check each incoming PR using the –author flag. If the author wasn't on the whitelist, the PR was automatically rejected.
  1. Continuous Monitoring: We set up a monitoring system to assess the effectiveness of our solution and adjust the whitelist as needed.

Results and Benefits

Since implementing this solution, we've seen a 70% reduction in AI bot spam in our repository. This has not only improved the quality of contributions but also encouraged genuine developers to participate without being overwhelmed by spam notifications.

Conclusion

Using Git's –author flag was a simple yet powerful change that transformed our repository management. It's a solution we highly recommend to other teams facing similar issues.

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