Git AI

Git AI is a Git extension designed to provide observability and attribution for AI-generated code throughout the software development lifecycle. It enables engineering teams to track code produced by AI agents from initial creation through every Git operation, including commits, merges, rebases, cherry-picks, squashes, and stashes, ensuring accurate attribution is preserved regardless of workflow. The tool links each line of AI-generated code to the specific agent, model, and prompt responsible, storing this information at the line level within Git Notes. This approach does not rely on heuristics or AI to detect AI-generated code; instead, coding agents explicitly report the code they generate, resulting in precise and durable attribution.

Git AI is intended for engineering teams seeking to understand, govern, and optimize their use of AI in codebases. It supports tracking code from major coding agents and provides analytics such as the percentage of AI-generated code shipped to production, token usage, rework rates, and cost metrics associated with AI contributions. The platform helps teams measure agent autonomy, identify friction points, and improve outcomes by analyzing traces of AI-code through the development process. It also supports mining agent sessions to enhance team skills, link architectural decisions and requirements to code, and assess agent readiness and effectiveness in various parts of the codebase.

The tool is delivered as an open-source Git extension, available for Mac, Windows, and Linux, and can be installed via a shell script. It integrates directly with Git without requiring workflow changes, Git hooks, or wrapping Git operations, and is designed to add zero overhead to typical development tasks. For teams and enterprise users, Git AI offers additional features such as a secure prompt store and aggregated data across the SDLC, enabling broader analysis of AI impact on pull requests, teams, and repositories.

By offering line-level AI code attribution and comprehensive analytics, Git AI addresses the need for transparency, governance, and operational insight in environments where AI agents contribute to software development.