A new GitHub browser plugin aims to identify and attribute AI-generated code within pull requests. The plugin, built as an extension of Refined GitHub, adds annotations to PRs, showing which lines were written by AI. As AI-powered coding tools become more prevalent, this plugin offers a way to manage and understand the impact of AI contributions.

This plugin helps developers discern between human and AI-generated code. It addresses the growing concern of AI-generated spam in open-source projects. By tracking AI contributions, developers can assess the quality and origin of code, promoting transparency. The tool integrates with common git workflows, ensuring data persistence through merges and rebases.

The underlying git-ai project provides the core functionality, storing AI contribution data in git notes. It preserves model and prompt information. The project's goals include vendor-agnostic tracking and accurate attribution. This allows teams to maintain links between prompts and code.

Looking ahead, this plugin is a beta, potentially leading to more advanced integration within GitHub. The success of this approach is contingent on GitHub's willingness to allow these extensions. It remains to be seen if GitHub will directly integrate this functionality. The project encourages community feedback.