mlsanityData to 14 Oct 2026

GitLake: Git-for-data for the agentic lakehouse

arXiv 2607.08319 ↗First posted 9 Jul 2026cs.DB cs.AIcited by 0

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 7 of its 13 references that are in the map. First posted on arXiv 9 Jul 2026.

Builds on

7 of 13 references.

Closest ancestors · 1

Same direction, newest first

  1. 2026"Skill Issues'': Data-Centric Optimization of Lakehouse Agents31 May

Other references · 6

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2025Supporting Our AI Overlords: Redesigning Data Systems to be Agent-Firstcited by 32
  3. 2023Building a serverless Data Lakehouse from spare partscited by 6
  4. 2025Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehousecited by 6
  5. 2025Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governancecited by 5
  6. 2026Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agentscited by 4

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  1. 2026Git4Data: Database-Native Version Control for AI Agents
  2. 2026Why Git Is the Memory Solution for the Agentic Development Lifecycle
  3. 2026Lore: Repurposing Git Commit Messages as a Structured Knowledge Protocol for AI Coding Agents
  4. 2025GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git
  5. 2026AgentLogs: A Dataset for Opening the Black Box of GitHub's Cloud Agent
  6. 2026Specifying and Maintaining Agentic Workflows: An Empirical Study of GitHub Agentic Workflows
  7. 2026Before the Pull Request: Mining Multi-Agent Coordination
  8. 2025GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging