{"ID":6267134,"CreatedAt":"2026-07-10T01:11:38.759438437Z","UpdatedAt":"2026-07-13T01:02:08.706470581Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.08319","arxiv_id":"2607.08319","title":"GitLake: Git-for-data for the agentic lakehouse","abstract":"We present GitLake, a Git-for-data design for an agent-first lakehouse. The system lifts single-table Iceberg snapshots into lakehouse-wide commits, branches, and merges, letting agents work on isolated branches while humans review and publish changes. Pipelines run on temporary branches and publish through a final merge, so all outputs become visible atomically or none do. Finally, we report production lessons as well as correctness insights from a preliminary Alloy model of our core abstractions.","short_abstract":"We present GitLake, a Git-for-data design for an agent-first lakehouse. The system lifts single-table Iceberg snapshots into lakehouse-wide commits, branches, and merges, letting agents work on isolated branches while humans review and publish changes. Pipelines run on temporary branches and publish through a final mer...","url_abs":"https://arxiv.org/abs/2607.08319","url_pdf":"https://arxiv.org/pdf/2607.08319v1","authors":"[\"Weiming Sheng\",\"Jinlang Wang\",\"Manuel Barros\",\"Aldrin Montana\",\"Jacopo Tagliabue\",\"Luca Bigon\"]","published":"2026-07-09T10:03:36Z","proceeding":"cs.DB","tasks":"[\"cs.DB\",\"cs.AI\"]","methods":"[]","has_code":false}