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Monitoring AI coding agent pull request performance
Top 92.0% on SourcePulse
This repository tracks and analyzes the pull request (PR) activity of prominent AI software engineering agents, such as Copilot, Codex, Devin, and Codegen. It aims to provide objective metrics on their performance, focusing on PR volume and success rates, enabling users to compare their effectiveness and understand their development workflows.
How It Works
The project monitors GitHub pull requests created by specified AI agents, categorizing them into "All PRs," "Ready PRs" (non-draft, ready for review), and "Merged PRs." By focusing on "Ready PRs," it offers a standardized comparison of agents' ability to produce mergeable code, irrespective of their iteration strategies (e.g., private iteration vs. public drafts). The data is updated every three hours.
Quick Start & Requirements
This section is not applicable as the provided README does not contain installation or setup instructions. It focuses on data analysis and statistics.
Highlighted Details
Maintenance & Community
No information regarding maintainers, community channels (like Discord/Slack), or project roadmap is available in the provided README content.
Licensing & Compatibility
The provided README content does not specify the repository's license or any compatibility notes for commercial use.
Limitations & Caveats
The analysis focuses solely on PR metrics and does not delve into the quality or impact of the merged code. The success rate is calculated based on "Ready PRs," which might not capture all nuances of an agent's contribution or development cycle. The data is limited to publicly available GitHub PR information for the tracked agents.
11 hours ago
Inactive