Dashboard tracking all GitHub PRs and analyzing Code Agent activity

In plain words

A dashboard that tracks and analyzes code agent activity across GitHub's public repositories. Researchers from ETH Zurich built this tool to study the real-world adoption and impact of AI code agents like Copilot, Devin, and Jules. The dashboard examines over 10 million pull requests, measuring merge rates and identifying patterns in how different agents perform across repositories of varying sizes and traffic levels. It reveals that while agents submit roughly 7% of all PRs overall, their success rates vary significantly depending on repository popularity and whether human review is involved.

written from the facts on this page · September 2026

From the sources

We track and analyze the activity and performance of autonomous code agents in the wild - logic-star-ai/insights

This repository contains the source code for insights.logicstar.ai . We track all GitHub pull requests created since 2025-05-15 and analyze them to identify autonomous code agents. 🚀 Installation While we host a live version at insights.logicstar.ai , you can also deploy the system locally. npm install npm run build Configure the environment via frontend/.env.local : pip3 install -e backend You should now have access to the aitw CLI tool. POSTGRES_CONNECT= " dbname=<dbname> user=<user> password=<passwd> host=<host> port=<port> " GOOGLE_APPLICATION_CREDENTIALS= " <path_to_gcp_app_creds> " We use GCP for logging scraping worker activity. You can omit the credentials if you're not using GCP…from github.com

In the maker’s words, at launch

Hi HN, We are researchers from ETH Zurich interested in the real-world adoption and impact of Code Agents. To measure this, we built a dashboard, scraping all public PRs on GitHub, analyzing which are created by different code agents (Codex, Jules, Copilot, Devin, etc.), and measuring their merge rates, sliced by…

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