Automating fork maintenance with AI agents

Maintaining a forked software project is a recurring, manual process, but this cycle can be automated using AI coding agents. The method involves a feedback loop where agents sync with the upstream project, run tests to identify breakages, and then automatically apply fixes. This approach was applied to Cohere's fork of vLLM, successfully reducing the time to integrate new upstream releases from weeks to just a few days. The skills powering this automated workflow have been open-sourced for others to use.