Reproduce “Insights from the Usage of the Ansible Lightspeed Code Completion Service” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Gebhardt, Louis Mandel, Luca Buratti

Ansible Lightspeed generates contextual, multi-line Ansible tasks from a natural-language task name and surrounding YAML in VS Code. The authors analyze telemetry from 10,696 consenting users, with acceptance and edit results focused on 3,910 returning users. They report 65.92% initial acceptance and 49.08% Strong Acceptance under a keep-and-light-edit definition; this measures retained suggestions, not correctness or productivity.

Summary by alphaXiv.

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.