analyze-git-contributions

To group git commits by functional component, you can analyze commit messages and file changes semantically. This approach uses AI to cluster related development work together, regardless of the underlying directory structure, producing a clear report of contribution themes.

Yes, you can analyze git commit history for a specific date range. The analysis supports various scopes including full history and date filtering, allowing you to focus on the exact development period you need to evaluate.

The best way to generate a developer productivity report from git commits is by using AI to semantically group contributions into functional components. This transforms raw commit data into detailed Markdown reports highlighting contribution themes, component breakdowns, and relevant statistics.

To handle git contribution analysis for large repositories with token limits, you can use intelligent sampling and segmented reports. This approach breaks down the analysis into manageable chunks, ensuring comprehensive reporting without exceeding processing limits.

No external dependencies are required to run the git commit analysis. The process utilizes built-in bash scripts for efficient data collection and parsing, and includes caching mechanisms to optimize performance during execution.