Summary

This article discusses Spotify's implementation of background coding agents, codenamed 'Honk', to automate the migration of dataset consumers to new versions of datasets. It highlights the challenges faced during the migration process, particularly the need for context engineering and the lack of standardization across different data pipeline frameworks. The article also shares insights on how tools like Backstage and Fleet Management were utilized to streamline the migration process, ultimately saving significant engineering time. Future improvements for Honk are also discussed, including enhanced context gathering capabilities.

Data Problems Addressed

Technologies Referenced